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Call for papers - Workshop on 'Model Evaluation and Causal Search: Empirical and Experimental Approaches' - 25-27 September 2022, Pisa (Italy)
by Francesco CORDONI 27 Apr '22

27 Apr '22

Dear colleagues, We would like to invite you to submit your research to our workshop on "Model Evaluation and Causal Search: Empirical and Experimental Approaches" hosted by the University of Pisa and Sant'Anna School of Advanced Studies on *25-27 September 2022 in Pisa (Italy)*. Each paper will have a discussant. Regular sessions will be introduced by our keynote speakers: *Daniela Puzzello* (Indiana University), *Thomas Lux* (University of Kiel), *Alessio Sancetta* (Royal Holloway, University of London), and *Tobias Henschen *(University of Cologne). The organization will sponsor the social dinner and accommodation for the speakers. A detailed call for papers is attached. Please circulate it among your colleagues, and do not hesitate to contact us should you require additional information. For updated information visit https://sites.google.com/view/model-evaluation-causal-search/home If you are interested in presenting, please send your paper to workshop.pisa.2022(a)gmail.com *by 30 June 2022.* Best regards, The Organizing Committee

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Corso Natesh PILLAI
by Matteo Ruggiero 26 Apr '22

26 Apr '22

Cari colleghi, nell’ambito del programma di Visiting Professors della Laurea Magistrale in Stochastics and Data Science dell’Università di Torino (programma completo alla pagina https://www.master-sds.unito.it/go/visiting) con piacere annunciamo il seguente corso: -------------------------------------- Natesh PILLAI (Harvard University) FUNDAMENTALS OF MARKOV CHAIN MONTE CARLO Syllabus • Discrete Markov chains: Ergodicity calculations, aperiodicity, irreducibility, recurrence, transience, reversibility, spectral gap. • Review of basic algorithms and concepts: MH, Langevin, HMC, Diffusions, Brownian motion, Gibbs Samplers, Generators of Diffusions • Mixing times: basic coupling arguments, Path coupling and Dirichlet forms/comparison arguments, CFTP, Peskun Ordering • Geometric Ergodicity, Drift minorization argument • Optimal Scaling • Adaptive Markov chains • Data Augmentation Gibbs Sampler -------------------------------------- Il corso si svolgerà online secondo il seguente calendario - mar 3 Maggio, h.14-16 - mer 4 Maggio, h.16-18 - mar 10 Maggio, h.14-16 - mer 11 Maggio, h.16-18 - mar 17 Maggio, h.14-16 - mer 18 Maggio, h.16-18 - mar 24 Maggio, h.14-16 Il corso è rivolto agli studenti della Laurea Magistrale ma la partecipazione è aperta a tutti gli interessati, tramite le seguenti riunioni Webex valide rispettivamente per le lezioni del martedì e del mercoledì: https://unito.webex.com/unito/j.php?MTID=me190fb3e66a07ce53d1ccfd1937badcd Numero riunione: 2731 419 2237 Password: PpQ3inZbq24 https://unito.webex.com/unito/j.php?MTID=m24bd3967fbb95df04993f896a1cb6289 Numero riunione: 2732 576 2484 Password: pCGempDu362 Cordiali saluti, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

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Three fully funded PhD positions @Sussex
by Enrico Scalas 26 Apr '22

26 Apr '22

Dear colleagues, At the Department of Mathematics, University of Sussex, we have three fully funded PhD positions. Please see the links below for details and feel free to circulate this message to potentially interested people. Bayesian inference of discretely observed diffusions https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1441-EPSRC-DTP… Nonlinear problems related to traction force microscopy https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1443-EPSRC-DTP… Large N limit of gauge theories https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1440-School-of… Best regards, Enrico Scalas

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seminario: "Comparative gene finding on highly diverse chromosome alleles", Marina Axelson-Fisk 26 April
by Umberto Picchini 26 Apr '22

26 Apr '22

You are welcome to the next Statistics seminar at Dept of Mathematical Sciences at Chalmers and Göteborg University. On Tuesday April 26, Marina Axelson-Fisk <http://www.math.chalmers.se/~marinaa/> will talk of: ///"Comparative gene finding on highly diverse chromosome alleles"/ / / //*About the speaker: *Marina Axelson-Fisk <http://www.math.chalmers.se/~marinaa/> is an Assc. Professor in Mathematical Statistics at Chalmers and University of Gothenburg. She works mainly within the field of Bioinformatics, with particular focus on stochastic models and algorithms for comparative genomics and cross-species gene finding. She is an associate member of the Linnaeus Centre for Marine Evolutionary Biology (CeMEB), where she is involved in the bioinformatics analysis of a number of newly sequenced Swedish coastal organisms. ** *Abstract:* With the new sequencing technologies, the number of novel genome sequences has exploded. At the same time the genome projects are hampered by the lack of homologies to the novel genome, making it difficult both to properly train genome analysis tools and to assess the results. Moreover, the faster and cheaper sequencing methods come with the cost of data quality, and sequencing and annotation errors that make it into the genome databases are propagated to new genomes, making annotation an even bigger challenge. Methods that can improve the data quality is desperately needed. Here we propose a novel use of comparative gene finding to improve the annotation in organisms with high nucleotide diversity. Comparative gene finding methods utilizes the contrast in sequence similarity between functional and non-functional regions of evolutionary related species. We show how this can be applied to chromosome pair sequences in diploid sequence data. We demonstrate the approach on the highly diverse sea orchid Balanus improvisus using SLAM, a cross-species gene finder that simultaneously annotates and aligns two homologous sequences using Generalized Pair Hidden Markov Models.* * *Feel free to spread this announcement in your network.* * * *Where*: room MVL14 or https://chalmers.zoom.us/j/62177902216 Password: 786749 ** **** *When*: Tuesday 26 April at 14.30-15.30*(Swedish time, UTC+2)*. ** -- _________________________________________________________ Umberto Picchini, Associate Professor, PhD, Docent https://umbertopicchini.github.io/ , twitter: @uPicchini

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Postdoc position at Luiss
by Marco Scarsini 25 Apr '22

25 Apr '22

The Department of Economics and Finance at Luiss University has issued a call for a postdoc position in “Learning in Strategic and Stochastic Environments.” https://economiaefinanza.luiss.it/en/research/research-grants/research-gran… The ideal candidate is engaged in research at the interface of game theory, machine learning, stochastic methods, optimization, theoretical computer science, and economic theory. Although the position is not related to any specific research project, the candidate is expected to interact with the faculty having similar research interests. The postoc is expected to start in January 2023. ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss University Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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Webinar PRISMA
by c.ceci＠unich.it 25 Apr '22

25 Apr '22

Buongiorno a tutti, abbiamo il piacere di annunciare i prossimi Webinars promossi dal Gruppo UMI-PRISMA: Lunedi’ 2 maggio 2022 ore 16-17 LAURA SACERDOTE TITOLO: Input-output consistency in Integrate and Fire neuronal networks ABSTRACT: Models of neurons aim to describe the information transmission within a neural network. Some models are mathematically tractable with the introduction of strong simplifications, ignoring the involved biophysicalfeatures of the single units. Others are very faithful to reality at the price of very complex mathematical descriptions. Models are then used to describe networks, often through simulations. The appearance of particular patterns in the trains of spikes is then used to compare with observed data or to switch from microscopic to macroscopic analysis. In this framework, it is essential to guarantee the reliability of the output of the model and often scientists compare the output of the models with real data. However, when the models are used to reproduce networks the output of some neurons becomes the input of a successive layer of neurons. This fact opens a problem of consistency between input and output of layers of neurons. To the best of our knowledge, this problem has not yet been deeply investigated. Here, we consider the simplest Stochastic Integrate and Fire model and we try to characterize the features of its input in such a way to re-obtain the same features in the output. In particular, we focus on the tail properties of ISIs distribution. Observed data suggest the presence of heavy tails for this distribution. Using the Stochastic Integrate and Fire paradigm for the neurons of the network we study how such features can be transmitted from the network. In this framework we introduce a particular class of multivariate distributions, i.e. the regularly varying distributions. We show that assuming that the input to a neuron is a regularly varying random vector and that successive ISIs of a neuron are asymptotically independent thenthe resulting output is a regularly varying random variable. The talk is based on a joint work with Petr Lansky and Federico Polito. Ore 17-18 BRUNO TOALDO TITLE: Semi-Markov processes, their exit times and non-local equations ABSTRACT: We introduce the theory of semi-Markov processes and their interplay with non-local equations. Particular attention will be devoted to the theory of exit times from sets and the connection with boundary value problems, e.g., on a time-dependent parabolic domain. Collegamento Teams: https://teams.microsoft.com/l/meetup-join/19%3ad685b25ed15f4821ac5168e63cf9… Tutte le informazioni sono reperibili anche alla pagina http://www.umi-prisma.polito.it/webinars.html Grazie per l’attenzione, Claudia Ceci e Domenico Marinucci Claudia Ceci Dipartimento di Economia Universita' "G. d'Annunzio" di Chieti-Pescara V.le Pindaro 42 65127, Pescara, ITALY c.ceci(a)unich.it

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Seminars in Pisa: A. P. Todino and F. Pistolato
by Francesco Grotto 25 Apr '22

25 Apr '22

Dear Colleagues, we would like to invite you to the following seminar by Anna Paola Todino (Università Milano Bicocca) to be held this Wednesday (April 27th) at Dipartimento di Matematica in Pisa and online via Google Meets. After the seminar, in the same location (on site and online), Francesca Pistolato (future PhD student at Université du Luxembourg) will give a short talk, details below. The organizers, A. Agazzi and F. Grotto -------------------------------------------- Location: Sala Seminari, Dipartimento di Matematica, Pisa Google Meet Link: https://meet.google.com/gji-phwo-vbg Time: April 27th, 2022, 14:00-15:00 CET Speaker: Anna Paola Todino (UniMiB) Title: Alternative forms of random spherical harmonics Abstract: In the last decade, lot of efforts have been devoted to the analysis of the high-frequency behaviour of geometric functionals (Lipschitz-Killing Curvatures) for the excursion sets of random eigenfunctions on the unit sphere (spherical harmonics). The asymptotic behavior of their expected values and variances have been investigated and quantitative central limit theorems have been established in the high energy limits. In order to generalize these results, a local study was also introduced by considering subdomains of the sphere. This topic is linked to Berry's conjecture on planar random waves and finds its motivation in cosmological applications. Another interesting issue concerns the Gaussianity hypothesis of the random field. In this direction we introduce a model of Poisson random waves on the 2-dimensional sphere and we study Quantitative Central Limit Theorems when both the rate of the Poisson process and the energy (i.e. frequency) of the waves (eigenfunctions) diverge to infinity. We consider finite-dimensional distributions, harmonic coefficients and convergence in law in functional spaces, and we investigate carefully the interplay between the rates of divergence of eigenvalues and Poisson governing measures. Time: April 27th, 2022, 15:00-15:30 CET Speaker: Francesca Pistolato Title: A Small-Scale Reduction Principle for the Nodal Length of Monochromatic Random Waves Abstract: We prove an asymptotic mean square equivalence between the nodal length of monochromatic random waves and their sample trispectrum in the small-scale regime. We make use of coupling techniques for non-stationary Gaussian fields, and the so-called Small-Scale Central Limit Theorem for the nodal length, both proved by Dierickx, Nourdin, Peccati, Rossi in 2020. Consequently, we deduce the conjectured equivalence from the analogous one for Berry's random wave model, proved by Vidotto in 2020.

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A spring day in Probability and Statistical mechanics-6 maggio 2022
by Luisa Andreis 22 Apr '22

22 Apr '22

Carissimi, Vi annunciamo con enorme piacere che riprenderanno le giornate di incontri nate su iniziativa della nostra collega ed amica Francesca Romana Nardi. Prossimamente si terrà la decima giornata di seminari: A SPRING DAY IN PROBABILITY AND STATISTICAL PHYSICS University of Florence Friday 6 May 2022 Lecturers: Nina Gantert (Munich) and Senya Shlosman (Marseille) Location: Anfiteatro (piano terra), Viale Morgagni 65, Firenze Informazioni su come arrivare: https://www.dimai.unifi.it/vp-285-come-arrivare-how-to-get.html <https://www.google.com/url?q=https://www.dimai.unifi.it/vp-285-come-arrivar…> Note pratiche: stiamo prenotando un catering con cibi vegerariani e non, percio` abbiamo bisogno del numero di persone che vogliono partecipare al pranzo. A coloro che fossero interessati (per una migliore organizzazione) chiediamo di compilare il seguente Google Form per indicare l'intenzione di partecipare al pranzo. https://docs.google.com/forms/d/e/1FAIpQLSeOv78KC4hNE_g-Z_hMSctDsxqh0435SUn… <https://docs.google.com/forms/d/e/1FAIpQLSeOv78KC4hNE_g-Z_hMSctDsxqh0435SUn…> PROGRAMMA Prof. Nina Gantert (Technical University of Munich) Title: Mixing times for exclusion processes Prof. Senya Shlosman (Aix Marseille Université, Skolkovo Institute of Science and Technology) Title: t.b.a. Program: 11.00-11.45 Introductory lecture: Gantert 11.45-12.00 Break 12.00-12.45 Seminar: Gantert 13.00-14.30 Lunch 14.30-15.15 Introductory lecture: Shlosman 15.15-15.30 Break 15.30-16.30 Seminar: Shlosman Local Organizers: G. Bet, L. Andreis Scientific advisory committee: F. Caravenna, N. Cancrini, E.N.M. Cirillo, F. Colomo, P. Dai Pra, A. De Masi, D. Fanelli, F. Flandoli, C. Giardina`, R. Livi, F. Martinelli, I.G. Minelli, E. Presutti, B. Scoppola, E. Scoppola. Ricordiamo che ciascun oratore fara` una lezione introduttiva e divulgativa di 45 minuti pensata proprio per i non esperti, seguita da altri 45 minuti di tipo seminario (vedi programma). Maggiori informazioni e aggiornamenti sono reperibili alle pagine web https://sites.google.com/unifi.it/florence-probability-group/home/days-in-p… <https://sites.google.com/unifi.it/florence-probability-group/home/days-in-p…> Vi aspettiamo numerosi Gianmarco Bet e Luisa Andreis Dipartimento di Matematica e Informatica Università degli Studi di Firenze Viale Morgagni 67, Firenze, Italy

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Seminar: Antonio Lerario at Tor Vergata
by mic sal 22 Apr '22

22 Apr '22

Dear all, next Friday, April 29th, Antonio Lerario (SISSA) will give a seminar about "The zonoid algebra". Abstract: In this seminar I will discuss the so called "zonoid algebra", a construction introduced in a recent work (joint with Breiding, Bürgisser and Mathis) which allows to put a ring structure on the set of zonoids (i.e. Hausdorff limits of Minkowski sums of segments). This framework gives a new perspective on classical objects in convex geometry, and it allows to introduce new functionals on zonoids, in particular generalizing the notion of mixed volume. Moreover this algebra plays the role of a probabilistic intersection ring for compact homogeneous spaces. Joint work with P. Breiding, P. Bürgisser and L. Mathis. The seminar will take place in Aula De Blasi, Università Tor Vergata, at 14h00. We encourage in-person partecipation, but should you unable to come here is the link to the event on Teams: https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… The seminar is part of the Excellence Project Math@TOV. You can find a schedule with the next events at the following link: https://www.mat.uniroma2.it/~rds/events.php .

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Postdoc in Math Finance at NUS
by Marko Hans Weber 22 Apr '22

22 Apr '22

Dear all, The Department of Mathematics at the National University of Singapore (NUS) seeks a Postdoctoral Research Fellow in Mathematical Finance. The candidate will work closely with Dr. Marko Weber on various topics, including portfolio optimization, equilibrium asset pricing, and systemic risk. Collaboration with other faculty members is also encouraged. The appointment is for one year, with the possibility of a one-year extension subject to funding availability. Starting date is negotiable. The position does not carry teaching duties and comes with competitive compensation. Applicants should submit all materials electronically through MathJobs (https://www.mathjobs.org/jobs/list/19755) Application material includes a cover letter, a CV, a research statement, the list of publications/working papers, and two or three letters of recommendation. Deadline is April 30th. Best, Marko

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AMASES2022 - Call for submissions - Special Session: Networks, Big Data, and Artificial Intelligence in Economics, Finance, and Social Sciences
by Piero MAZZARISI 21 Apr '22

21 Apr '22

Dear Colleagues, a parallel session within the AMASES Annual Conference (https://amases2022.community.unipa.it/home <https://amases2022.community.unipa.it/home>) entitled "Networks, Big Data, and Artificial Intelligence in Economics, Finance, and Social Sciences" will take place on September 22-24, 2022 in Palermo. The session focuses on the emerging multidisciplinary study of the interconnections in finance and social science, which brings with it the necessity to deal with the growing amount of data available. A special emphasis is given to the latest advances in artificial intelligence and machine learning, which are expected to have a disruptive impact in economic, financial, and social data modeling. The special session intends to foster the dialogue between academics, regulators, and practitioners. Theoretical and empirical papers are welcome. Topics include but are not limited to: - contagion in social, economic, and financial networks - network modeling of financial time-series - big data approach to financial, economic, and social modeling - artificial intelligence, machine learning and natural language processing in social, economic, and financial systems It is a great pleasure to invite you to submit an extended abstract. The deadline for submission is June 13, 2022. The abstract submission Web page for AMASES 2022 is: https://easychair.org/conferences/?conf=amases2022 <https://easychair.org/conferences/?conf=amases2022> specifying that your paper should be considered for our special session. Please refer to the official web page of the conference for further details on the submission (https://amases2022.community.unipa.it/abstract-submission <https://amases2022.community.unipa.it/abstract-submission>). Important dates: June 13, 2022: Deadline for abstract submission June 27, 2022: Notification of acceptance For information, please contact: Fabrizio Lillo (fabrizio.lillo(a)unibo.it <mailto:fabrizio.lillo@unibo.it>) Michele Tumminello (michele.tumminello(a)unipa.it <mailto:michele.tumminello@unipa.it>) Piero Mazzarisi (piero.mazzarisi(a)sns.it <mailto:piero.mazzarisi@sns.it>) Best regards, Fabrizio Lillo, Michele Tumminello, and Piero Mazzarisi

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Fwd: I: Job Advert: 3 Doc (3-7 years) or PostDoc (4-7 years) positions at Dept. Math. of the Technical University of Munich on the topic mathematics of machine learning
by Marco Romito 21 Apr '22

21 Apr '22

ricevo e inoltro. m. ------------------------------------------------------------------------ *Da:* Massimo Fornasier <massimo.fornasier(a)ma.tum.de> *Inviato:* giovedì 21 aprile 2022 09:11 *A:* Massimo Fornasier *Oggetto:* Job Advert: 3 Doc (3-7 years) or PostDoc (4-7 years) positions at Dept. Math. of the Technical University of Munich on the topic mathematics of machine learning Dear Colleagues, I'm currently inviting candidates for * Doc/Postdoctoral Researcher (3-7 years), * starting July 1, 2022 or later. Please, would you forward this opening to interested candidates. See also the attached call. I'm intending to review applications immediately. Ideal candidates have § a master/doctoral degree in mathematics (exclusively degree in mathematics!) § a strong background in at least two of the following fields: machine learning, optimization, optimal control, nonlinear PDE, variational calculus, numerical analysis and algorithms, § some experience in numerical programming with Python,C/C++, Matlab or similar environments, § good command of the English language (knowledge of German is not required), and are interested in working on /mathematics of machine learning/. For more information please contact Prof. Massimo Fornasier (massimo.fornasier(a)ma.tum.de) Applications should be sent to toth-pinter(a)ma.tum.de with subject "Application for the Doc/PostDoc position mathematics of machine learning" and should include § a CV, with a list of publications (for postdoctoral researchers), § copies of degrees / university transcripts, § a motivational statement (at most one page) explaining the applicant's interest in the position as well as their relevant skills and experience, § names and email addresses of at least one (for doctoral researchers) or two (for postdoctoral researchers) professors that may provide letters of recommendation directly to the hiring committee. I thank you for your kind attention and cooperation. Best regards Massimo Fornasier P.S. Apologies for multiple posting.

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PhD in Economics, Statistics and Data Science (DEMS) - University of Milano-Bicocca
by Federico Camerlenghi 21 Apr '22

21 Apr '22

Dear all, The Department of Economics, Management and Statistics (DEMS) of the University of Milano-Bicocca invites applications to its *PhD Programme in Economics, Statistics and Data Science* for the academic year 2022-23 (XXXVIII cycle). *PhD programme* The PhD Programme is articulated in three curricula: - Economics (ECO), - Statistics (STAT), - Big Data & Analytics for Business (BIDAB). The length of the PhD Programme is *four years*, starting in late October 2022. *Fellowships* We offer at least ten fellowships (for a period of four years) to the highest ranked applicants. Each fellowship pays a grant of a minimum of €16.200 (gross income) per year. The monthly allowance can be increased up to 50% for our PhD students visiting academic or scientific institutions abroad. There will also be allowances (research funds) for short-period mobility (from the first year). Additional scholarships and positions are also available on specific research projects in collaboration with national and international companies of primary importance. *Selection procedure* The selection procedure is regulated by the official Call for Applications (Bando di Concorso), which can be found starting from *April 21st* at the link: https://en.unimib.it/education/doctoral-research-phd-programmes/applying-do… The official Call for Applications contains detailed information on: i) the documents which each candidate has to submit; ii) structure, contents and timing (approximately during June 2022) of the entrance examination; iii) description of the projects related to the additional scholarships and positions. *Important links* Website of the PhD: https://www.dems.unimib.it/en/research/phd-programme Application procedure: https://en.unimib.it/education/doctoral-research-phd-programmes/applying-do… Best regards, Federico Camerlenghi -- Federico Camerlenghi Assistant Professor RTDb Department of Economics, Management and Statistics University of Milano Bicocca, Milano, Italy. web-page: https://www.unimib.it/federico-camerlenghi

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New Professor Position at Luxembourg University.
by Giovanni Peccati 20 Apr '22

20 Apr '22

Dear All, a new *Associate/Full Professor position in Mathematics* is open at *Luxembourg University*, see the webpage: http://emea3.mrted.ly/31ge1 The position has a large scope: in particular, specialists in Probability Theory are encouraged to apply. The deadline is *June 15th, 2022*. Best regards, Giovanni Peccati -- Prof. Giovanni Peccati ------------------------------------------ Head of the Department of Mathematics Faculty of Science, Technology and Medicine ------------------------------------------ University of Luxembourg ----------------------------------------- homepage: http://sites.google.com/site/giovannipeccati/home E-mail: giovanni.peccati(a)gmail.com

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Environment and sustainability: new challenges and perspectives for Statistics - Politecnico di Milano
by Laura Maria Sangalli 20 Apr '22

20 Apr '22

#VERSOILFESTIVALDELLASTATISTICA22 Scadenza registrazione per partecipazione in presenza: *** Giovedì 21 Aprile *** Environment and sustainability: new challenges and perspectives for Statistics Martedì 3 maggio 2022 ore 14.00 Politecnico di Milano Intervengono: Prof. Pedro Delicado, Universitat Polytecnica de Catalunya “Wildfires vegetation recovery through satellite remote sensing and functional data analysis” Prof. Alessandro Fassò, Università degli Studi di Bergamo "Statistical modelling of COVID-19 impact on maritime carbon emissions” Prof. Piercesare Secchi, Politecnico di Milano "Environment and sustainability: new challenges and perspective for Statistics” Tavola rotonda, presieduta da Piercesare Secchi, con la partecipazione di Corrado Crocetta, Presidente della Società Italiana di Statistica, e di membri del Comitato Scientifico di GRASPA Dettagli e registrazione a https://www.mate.polimi.it/events/statfest/ —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email: laura.sangalli(a)polimi.it url: http://mox.polimi.it/~sangalli

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PhD course on Rough Paths at Rome Tor Vergata
by Lucia Caramellino 19 Apr '22

19 Apr '22

Dear All, during May, prof. Vlad Bally (Université Gustave Eiffel) will be Visiting Professor at the University of Rome "Tor Vergata". During his stay, he will give a PhD course entitled Introduction to rough paths. Information about the course - program, references, schedule etc. - can be found at http://www.mat.uniroma2.it/~caramell/roughpaths2022.htm <http://www.mat.uniroma2.it/~caramell/roughpaths2022.htm> The course will be held in blended form (in presence and online) from May 4th to May 26th. The lectures will be streamed via Microsoft Teams. Please write me an email if you are interested in being included in the Teams classroom of the course or in receiving the link to follow the lessons. Best regards, Lucia +++++++++++++++++++++++++++++++++ Lucia Caramellino Dipartimento di Matematica Università di Roma “Tor Vergata” Web: http://www.mat.uniroma2.it/~caramell

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Seminario Venerdì 22 - Seonwoo Kim (Seoul National University)
by Gianmarco Bet 19 Apr '22

19 Apr '22

Gentili colleghe e colleghi, Vi segnalo con piacere il seguente seminario che si terrà Venerdì 22 Aprile dalle 9:30 alle 10:30 in modalità mista. Location: Aula 215, Plesso Morgagni, Viale Giovan Battista Morgagni 40, 50134 Firenze Link alla videochiamata: https://meet.google.com/rps-uiyj-bhj <https://meet.google.com/rps-uiyj-bhj> Speaker: Seonwoo Kim (Seoul National University) Title: Metastability of Ising/Potts models on lattices in the low-temperature regime Abstract: In this talk, I will discuss metastability of the Ising/Potts model with zero external field in two or three dimensions. Metastable transitions in the case of zero field occur along a large saddle plateau, which can be divided into bulk and edge parts. Transitions on the bulk part are one-dimensional and thus easy to analyze, whereas transitions on the edge part are much more complex. In two dimension, I will characterize them in a very precise manner. On the other hand in three dimension, it is impossible to find such a precise characterization and thus I present an alternative abstract method to analyze the metastable behavior. This talk is based on a joint work with Insuk Seo at Seoul National University. Cordiali saluti, Gianmarco Bet ---------------------------------------------------------------------- Gianmarco Bet (he/him) Junior researcher https://gianmarco.bet Phone: (+39) 055 2751491 Department of Mathematics and Informatics "U. Dini" University of Florence Viale Morgagni, 65 50134 Firenze, Italy Office 64 ----------------------------------------------------------------------

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Scientific ASA 2022 conference on Data-Driven Decision Making
by Marta Nai Ruscone 15 Apr '22

15 Apr '22

On behalf of Enrico Di Bella (University of Genoa). Apologies for cross-posting.... CALL FOR PAPERS Association for Applied Statistics ASA 2022: “Data Driven Policy Making” Genoa, Italy, September 12-14, 2022 https://asa2022.unige.it/ <https://asa2022.unige.it/> regularly updated with news Dear Colleagues, I am pleased to announce the next ASA 2022 Conference (Association for Applied Statistics) “Data Driven Policy Making” that will take place from September 12th to 14th, 2022, hosted by the University of Genoa <https://asa2022.unige.it/node/4>, Genoa, Italy. Submit your contribution through EasyChair: https://easychair.org/my/conference?conf=asa2022 <https://easychair.org/my/conference?conf=asa2022> Instruction for the authors available at: https://asa2022.unige.it/node/6 <https://asa2022.unige.it/node/6> I am pleased to take this opportunity to wish you and your beloved ones Happy Easter holidays. Best regards, Marta Nai Ruscone (Local Organising Commitee) ———————————————————————————————— Important Dates ———————————————————————————————— Abstract submission deadline (max 300 words): April 30, 2022 Early registration deadline: June 31, 2022 Short paper submission (with ISBN): July 15, 2022 ———————————————————————————————— For more information, please feel free to contact asa2022(a)unige.it <mailto:asa2022@unige.it> or visit the conference website https://asa2022.unige.it/ <https://asa2022.unige.it/>. ———————————————————————————————— *** --- *** <> Marta Nai Ruscone Department of Economics - DIEC University of Genova. Via Vivaldi, 5. 16126 Genova (GE). Italy

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Seminar in Statistics - JOHANNES SCHMIDT-HIEBER
by Pierpaolo De Blasi 15 Apr '22

15 Apr '22

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Venerdi 22 Aprile 2022, alle ore 12.00, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Speaker: *Johannes Schmidt-Hieber* (University of Twente) Title: *A theoretical comparison of deep learning and Bayes with deep Gaussian process priors* Abstract: Deep neural networks have received a lot of attention recently and considerable progress has been made to build an underlying mathematical foundation. In a first part of the talk, we summarize some statistical convergence results. Deep Gaussian process priors can be viewed as continuous analogues of Bayesian neural networks and this raises the question whether there is a closer link with deep learning. In the second part of the talk, we show that the posterior for a suitable deep Gaussian process prior can achieve fast posterior contraction rates and discuss the connection with deep learning. This is joint work with Gianluca Finocchio. ------------------------------------------------ In ottemperanza alle norme anti Covid, per partecipare in presenza è necessario prenotarsi tramite il seguente form online: https://forms.gle/wxwecLUnpZ2GEsWh9 Sarà possibile seguire il seminario anche in streaming: Join Zoom Meeting <https://us02web.zoom.us/j/83612787995?pwd=SE1CR2ZGdmxxZmNWUmx2WS9XNXdtdz09> Meeting ID: 836 1278 7995 Passcode: 612986 Il seminario è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats Cordiali saluti, Pierpaolo De Blasi -- Pierpaolo De Blasi University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

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Seminario di Probabilità
by Paolo Dai Pra 15 Apr '22

15 Apr '22

Cari colleghi, vi invito al seguente seminario. Date: 20 Aprile 2022, 14:30 Venue: Ca’ Vignal 2, Università di Verona, Aula G Speaker: Luisa Andreis, Università di Firenze Title: An introduction to phase transitions in coagulation processes and random graphs Abstract: Sparse inhomogeneous random graphs are a natural generalization of the well-known Erdos Renyi random graph, where vertices are characterized by a type and edges are independent but distributed according to the type of the vertices that they are connecting. These graphs undergo a phase transition in terms of the emergence of a giant component exactly as the classical Erd ̋os Renyi model. In this talk we will introduce an alternative approach, via large deviations, to prove this phase transition. This allows a comparison with the gelation phase transition that characterizes coagulation processes and the phase transition of condensation type emerging in several systems of interacting components. Paolo Dai Pra Paolo Dai Pra Dipartimento di Informatica Università degli Studi di Verona Strada Le Grazie 15, 37134 Verona, Italy Tel. +390458027093

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Seminar by J. Teichmann in Verona
by Alessandro Gnoatto 14 Apr '22

14 Apr '22

Prof. Josef Teichmann (ETH Zürich) will give a talk at the Department of Economics – University of Verona. Date: 20/04/2022 @ 12:00 (Rome Time) Title: Signature SDEs from an affine and polynomial perspective Affine or polynomial processes are fascinating classes of models due to the so-called affine transform formulae or moment formulae, respectively. We first show through a linearization procedure that generic classes of diffusion models can be obtained as projections of infinite dimensional affine processes (which actually coincide with polynomial processes). Affine and polynomial technology next allows to derive so far unknown formulae for characteristic functions and moments of involved process functionals. Third a dynamic viewpoint on those formulae (combined with machine learning approaches) leads to efficient numerical evaluations. If you would like to attend via Zoom, please register at the following link, we will send you the details: https://docs.google.com/forms/d/e/1FAIpQLScgw1WL5uuNrg_woQgY9WJCOIG9uIzuxkR… <https://docs.google.com/forms/d/e/1FAIpQLScgw1WL5uuNrg_woQgY9WJCOIG9uIzuxkR…> Best Regards, -- Alessandro Gnoatto Dipartimento di Scienze Economiche Università degli Studi di Verona Via Cantarane 24 37129, Verona, Italy Room 1.05 Tel: +39 045 802 8537 Homepage: www.alessandrognoatto.com E-mail: alessandro.gnoatto(a)univr.it -------------------------------------------------- View my research on my SSRN Author page: http://ssrn.com/author=1615989 --------------------------------------------------

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Next LTI@UniTO seminars: April 19, 2022 @12:00 | April 20, 2022 @12:00
by Luca Regis 14 Apr '22

14 Apr '22

Dear Colleagues, it is my pleasure to invite you to the following two seminars on Quantitative Finance, organised by LTI@UniTO and CCA, which will take place in hybrid form on Tuesday 19th at 12.00 (prof. Polk, LSE) and on Wednesday at 12.00 (prof. Albuquerque, Carrol School of Management). Please find below the details and links to attend via Zoom. Best regards, Luca Regis ------------ Luca Regis Associate Professor ESOMAS Department University of Torinosites.google.com/view/lucaregiswww.carloalberto.org/lti <#m_-325173197699348024_m_-4631880425216739772_> <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/mGgSCYMNR1a7HLMz6TnsrJrcmnBwnGaSAR…> <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/4KCyPXXx-Rw0rt4tRzRL2EdIK0lq7TJqPf…> <#m_-325173197699348024_m_-4631880425216739772_> *LTI@UniTO* and *Fondazione Collegio Carlo Alberto* are pleased to invite you to the following seminars: <#m_-325173197699348024_m_-4631880425216739772_> <#m_-325173197699348024_m_-4631880425216739772_> *April 19, 2022 | 12:00 - 13:15* *The Day Destroys the Night, Night Extends the Day: A Clientele Perspective on Equity Premium Variation* *Christopher Polk (LSE – London School of Economics; CEPR)* <#m_-325173197699348024_m_-4631880425216739772_> *Abstract. *We decompose market returns into their overnight and intraday components, which dramatically improves equity premium forecasts. Past smoothed overnight market returns strongly negatively forecast subsequent close-to-close returns (quarterly R2 of over 14%), primarily through intraday mean reversion. In contrast, past smoothed intraday market returns strongly positively forecast subsequent overnight returns; this partially-offsetting effect explains PE's relatively poor forecasting ability (R2 only 3%). Our decomposition also resurrects the conditional CAPM: If we allow market betas to vary with past smoothed overnight returns, the unconditional alpha of the four Fama-French non-market factors decreases by 91%. We interpret these return patterns through a clientele perspective. First, individual investor expectations and consumption growth strongly positively forecast overnight market returns; intermediary risk tolerance and household equity share strongly negatively forecast intraday market returns. Second, aggregate discount-rate news associated with revisions in future expected overnight (intraday) returns is positively (negatively) correlated with aggregate cash-flow news. Finally, while the Tech boom and Covid crash/rebound were primarily driven by overnight returns, the Global Financial Crisis was mostly an intraday phenomenon. <#m_-325173197699348024_m_-4631880425216739772_> *To attend in presence, register here* <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/AeJ-WyYc_gvUq2mT72rqiHtFvTQ6jPrbiV…> <#m_-325173197699348024_m_-4631880425216739772_> *To attend online, join Zoom Meeting* <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/vQ-81gGUFwr92prMcO1wAos1prgrpZtXYC…> <#m_-325173197699348024_m_-4631880425216739772_> <#m_-325173197699348024_m_-4631880425216739772_> <#m_-325173197699348024_m_-4631880425216739772_> *April 20, 2022 | 12:00 - 13:15* *Strategic Leadership in Corporate Social Responsibility* *Rui Albuquerque (Carrol School of Management, Boston College)* <#m_-325173197699348024_m_-4631880425216739772_> *Abstract.* We propose a strategic theory of Corporate Social Responsibility (CSR). Shareholder maximizers commit to a mission statement that extends beyond firm value maximization. This commitment leads firms (either product market competitors or complementors along the value chain) to change their actions in ways that ultimately favor shareholders. We thus provide a formal analysis of the “doing well by doing good” adage. We also provide conditions such that the mission statement game has the nature of a pure coordination game. Our framework thus provides a natural theory of firm leadership in a CSR context: by selecting a CSR mission statement, a first mover effectively leads the industry to a Pareto optimal equilibrium. <#m_-325173197699348024_m_-4631880425216739772_> *To attend in person, register here* <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/sWQz91Ig64g-hKPI0qtXuwSrmqF9ks4uXO…> <#m_-325173197699348024_m_-4631880425216739772_> *To attend online, join Zoom Meeting* <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/a5FFG16ZzGA4wKp6TEcOSC5UJL-ct_fbpI…> <#m_-325173197699348024_m_-4631880425216739772_> <#m_-325173197699348024_m_-4631880425216739772_> <#m_-325173197699348024_m_-4631880425216739772_> <#m_-325173197699348024_m_-4631880425216739772_> <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/w9EAxMXTRoVQWw8rge58Ur5Q9h1azrMGGu…> <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/ryYmaMlVZUN48CzZ1ArQlrckik3y2zJD7c…> <#m_-325173197699348024_m_-4631880425216739772_> FONDAZIONE COLLEGIO CARLO ALBERTO Piazza Arbarello 8 - 10122 Torino, Italy phone: +390116705000 segreteria(a)carloalberto.org - www.carloalberto.org [image: Facebook] <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/wh_Khsc6qoONJjjfPj_n-Lb6YoAirMTUXv…> [image: Twitter] <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/UnCsCKFdXGIuCX9lfeGpe6ph-BAbL3z-0f…> [image: LinkedIn] <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/tB9Ns4ARnwiSodkGn2ubnmU1M9x11LPrz4…> [image: Instagram] <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/QoIO7jUPYXlgktVaTw_Tvc2g1WfpgXZgB4…> [image: Youtube] <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/vBC6AeuPt0mow4OYvvHSCpa0bGiKvCbuof…> <#m_-325173197699348024_m_-4631880425216739772_> *INFORMATION UNDER THE NEW GENERAL DATA PROTECTION REGULATION (GDPR)* Your personal information has been gathered for the exclusive purpose of informing you about the Collegio's initiatives, considering our and your legitimate interest or your consent. If you wish to have your personal data modified please contact Fondazione Collegio Carlo Alberto, piazza Arbarello 8, 1022 Torino, Italy - phone: +390116705000 - privacy(a)carloalberto.org To find out about the policies regarding the processing of personal data pursuant to articles 13-14 of EU Regulation 2016/679, consult the information at the following link https://www.carloalberto.org/privacy/ <https://4z5y5.r.a.d.sendibm1.com/mk/cl/f/DOTuQ0uCCHcGYF5klkwzkQH0wWDrRpL_lu…> *Unsubscribe* <https://4z5y5.r.a.d.sendibm1.com/mk/un/8OTasEyZLFVs-LU8TrbS7FoU5yh_VLcM7kRb…> <#m_-325173197699348024_m_-4631880425216739772_> © 2021 Fondazione Collegio Carlo Alberto <#m_-325173197699348024_m_-4631880425216739772_>

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Postdoc Position for experts in complex networks/graph algorithms
by Juho Kanniainen (TAU) 14 Apr '22

14 Apr '22

Dear all, We have an open two-year post-doc position on financial networks in Tampere, Finland. If you have background on complex networks and/or graph algorithms and would like to join a highly impactful research project on insider trading in financial markets, you might be the candidate we are seeking. As this is a highly methodological project, background in financial market research is not required, but it is important to have general interest in the application area. For further details see https://tuni.rekrytointi.com/paikat/?o=A_RJ&jgid=1&jid=1433 The deadline for applications is the 9th of May, 2022. It would be great if you could forward this announcement to potential candidates. Best regards, Juho Kanniainen -- Juho Kanniainen Professor, PhD Tampere University Computing Sciences/Statistical Data Analytics Group for Financial Computing and Data Analytics<https://www.tuni.fi/en/research/financial-computing-and-data-analytics> Mobile: +358 40 707 4532 E-mail: juho.kanniainen(a)tuni.fi<mailto:juho.kanniainen@tuni.fi> www.sites.google.com/site/juhokanniainen<http://www.sites.google.com/site/juhokanniainen>

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seminar: "Point process learning", Ottmar Cronie, 19 April
by Umberto Picchini 14 Apr '22

14 Apr '22

You are welcome to the next Statistics seminar at Dept of Mathematical Sciences at Chalmers and Göteborg University. On Tuesday April 19, Ottmar Cronie <https://www.chalmers.se/en/staff/Pages/ottmar.aspx> will talk of: ///"Point process learning" / * * *About the speaker: *Ottmar Cronie <https://www.chalmers.se/en/staff/Pages/ottmar.aspx> is associate professor at Chalmers and University of Göteborg. His research is primarily in spatial and spatio-temporal statistics as well as statistical learning. The emphasis is on point processes. The applied part of his research focuses mainly on epidemiology where the main focus at the moment is research on covid-19 and mosquito-borne diseases. // //* * *Abstract:* Point processes are random sets which generalise the classical notion of a random (iid) sample by allowing i) the sample size to be random and/or ii) the sample points to be dependent. Therefore, point process have become ubiquitous in the modeling of spatial and/or temporal event data, e.g. earthquakes and disease cases. In this talk, we present the first statistical learning framework for general point processes, which is based on a subtle combination of two new concepts: prediction errors and cross-validation for point processes. The general idea is to split a point process in two, through thinning, and estimate parameters by predicting one part using the other. By repeating this procedure, we implicitly induce a conditional repeated sampling scheme. The proposed approach allows us to introduce a variety of loss functions not only suitable for standard spatial statistical problems but for general estimation settings, without imposing the iid assumptions. Having discussed different properties of this new approach, we illustrate how it may be applied in different spatial statistical settings and, numerically, we show in (at least) one of these settings that it outperforms the state of the art.* * *Feel free to spread this announcement in your network.* * * *Where*: room MVL14 orhttps://chalmers.zoom.us/j/64214516762 Password: 355673 ** **** *When*: Tuesday 19 April at 14.30-15.30*(Swedish time, UTC+2)*. ** -- _________________________________________________________ Umberto Picchini, Associate Professor, PhD, Docent https://umbertopicchini.github.io/ , twitter: @uPicchini

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de Finetti Risk seminar: Walter Schachermayer
by Marco Maggis 13 Apr '22

13 Apr '22

On behalf of the Scientific Committee of the "B. de Finetti Risk Seminars, Milano Lectures on the Mathematical Theory of Economics and Finance”, we are glad to invite you to participate at the following Lecture which will take place on Thursday, May 5, 2022 at 17.30 (see all details below). *Walter Schachermayer* Universität Wien *Title:* Martingale Transport, De March-Touzi paving, and stretched Brownian motion in ℝd *Abstract:* In classical optimal transport, the contributions of Benamou–Brenier and Mc-Cann regarding the time-dependent version of the problem are cornerstones of the field and form the basis for a variety of applications in other mathematical areas. For µ,ν probability measures on ℝd, increasing in convex order, stretched Brownian motion [1] provides an analogue for the martingale version of this problem. In dimension d=1 it was shown in [2] that any martingale transport decomposes into at most countably many invariant intervals and that this decomposition is universal. Extensions of this result to d≥2 were studied in [4], [5], [3]. We show that the dual optimization problem attached to a stretched Brownian motion induces the universal De March–Touzi paving [3] of ℝd. Joint work with M. Beiglböck, J. Backhoff, and B. Tschiderer. REFERENCES [1] J. Backhoff-Veraguas, M. Beiglböck, M. Huesmann, and S. Källblad. Martingale Benamou-Brenier: a probabilistic perspective. Ann. Probab., 48(5):2258–2289, 2020. [2] M. Beiglböck and N. Juillet. On a problem of optimal transport under marginal martingale constraints. Ann. Probab., 44(1):42–106, 2016. [3] H. De March and N. Touzi. Irreducible convex paving for decomposition of multidimensional martingale transport plans. Ann. Probab., 47(3):1726–1774, 2019. [4] N. Ghoussoub, Y.-H. Kim, and T. Lim. Structure of optimal martingale transport plans in general dimensions. Ann. Probab., 47(1):109–164, 2019. [5] J. Obłój and P. Siorpaes. Structure of martingale transports in finite dimensions. arXiv:1702.08433, 2017. *LOCATION: *The seminar will be held on Thursday, May 5, 2022 at 17.30, Aula di Rappresentanza, Dept. of Mathematics, Milano University, Via C. Saldini 50, Milano. A light reception will take place at 17.00. Scientific Committee Prof. Simone Cerreia-Vioglio (Univ. Bocconi) Prof. Marco Frittelli (Univ. degli Studi di Milano) Prof. Fabio Maccheroni (Univ. Bocconi) Prof. Marco Maggis (Univ. degli Studi di Milano) Prof. Massimo Marinacci (Univ. Bocconi) Prof. Emanuela Rosazza Gianin (Univ. Milano-Bicocca)

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de Finetti Risk seminar: Walter Schachermayer
by Maggis Marco 13 Apr '22

13 Apr '22

On behalf of the Scientific Committee of the "B. de Finetti Risk Seminars, Milano Lectures on the Mathematical Theory of Economics and Finance”, we are glad to invite you to participate at the following Lecture which will take place on Thursday, May 5, 2022 at 17.30 (see all details below). *Walter Schachermayer* Universität Wien *Title:* Martingale Transport, De March-Touzi paving, and stretched Brownian motion in ℝd *Abstract:* In classical optimal transport, the contributions of Benamou–Brenier and Mc-Cann regarding the time-dependent version of the problem are cornerstones of the field and form the basis for a variety of applications in other mathematical areas. For µ,ν probability measures on ℝd, increasing in convex order, stretched Brownian motion [1] provides an analogue for the martingale version of this problem. In dimension d=1 it was shown in [2] that any martingale transport decomposes into at most countably many invariant intervals and that this decomposition is universal. Extensions of this result to d≥2 were studied in [4], [5], [3]. We show that the dual optimization problem attached to a stretched Brownian motion induces the universal De March–Touzi paving [3] of ℝd. Joint work with M. Beiglböck, J. Backhoff, and B. Tschiderer. REFERENCES [1] J. Backhoff-Veraguas, M. Beiglböck, M. Huesmann, and S. Källblad. Martingale Benamou-Brenier: a probabilistic perspective. Ann. Probab., 48(5):2258–2289, 2020. [2] M. Beiglböck and N. Juillet. On a problem of optimal transport under marginal martingale constraints. Ann. Probab., 44(1):42–106, 2016. [3] H. De March and N. Touzi. Irreducible convex paving for decomposition of multidimensional martingale transport plans. Ann. Probab., 47(3):1726–1774, 2019. [4] N. Ghoussoub, Y.-H. Kim, and T. Lim. Structure of optimal martingale transport plans in general dimensions. Ann. Probab., 47(1):109–164, 2019. [5] J. Obłój and P. Siorpaes. Structure of martingale transports in finite dimensions. arXiv:1702.08433, 2017. *LOCATION: *The seminar will be held on Thursday, May 5, 2022 at 17.30, Aula di Rappresentanza, Dept. of Mathematics, Milano University, Via C. Saldini 50, Milano. A light reception will take place at 17.00. Scientific Committee Prof. Simone Cerreia-Vioglio (Univ. Bocconi) Prof. Marco Frittelli (Univ. degli Studi di Milano) Prof. Fabio Maccheroni (Univ. Bocconi) Prof. Marco Maggis (Univ. degli Studi di Milano) Prof. Massimo Marinacci (Univ. Bocconi) Prof. Emanuela Rosazza Gianin (Univ. Milano-Bicocca) -- Marco Maggis, Professore Associato, Secs-S/06 Dipartimento di Matematica F. Enriques, Via Cesare Saldini 50, 20133, Milano Telefono: 0250316120

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Call for application PhD in Economics Ca' Foscari University a.y. 2022-26 - spread the news
by Antonella Basso 12 Apr '22

12 Apr '22

Dear Colleague, I would be grateful if you could bring to the attention of your best students the new edition 2022-2026 of the PhD Program in Economics offered by the Ca' Foscari University of Venice. The PhD program has a duration of four years and 7 positions are available for the next cohort starting in September '22. Six of them come with a scholarship (around 15,300 € per year), one is reserved for non-Italian applicants holding an equivalent scholarship covering four years. The deadline for application is *May 2nd 2022*, *13h00 (Italian time)*. The PhD Program in Economics aims at training selected students for a career as economists in academic institutions or in research departments of national and international organizations, public institutions, private corporations, central banks, financial institutions. The considerable diversification of research areas covered by the members of the Department of Economics and their international reputation provide an excellent environment where students of most fields in economics can find guidance to develop their research projects for their doctoral studies. A presentation of the PhD programme is organised on Zoom on April 20th at 16.00. Please register here: http://phdeconomics2022.eventbrite.it Requirements and how to apply: https://www.unive.it/pag/43334/ Information on the PhD in Economics: http://www.unive.it/phdeconomics Herewith a link to our INOMICS advertisement: https://inomics.com/program/4-year-phd-in-economics-1447778 Any questions on the program may be addressed to the PhD Secretariat at: sse(a)unive.it Thank you for your attention. Best regards, Antonella Basso -- Antonella Basso Dipartimento di Economia Università Ca' Foscari Venezia Fondamenta S. Giobbe - Cannaregio 873 30121 Venezia - Italy Tel. +39-041-2346914 E-mail address:basso@unive.it Web page:http://www.unive.it/data/persone/5591751

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6 PhD scholarships in Statistical Sciences – University of Padova, Italy – Deadline May 13, 2022 - 13:00 (CEST)
by Susi Ceron 12 Apr '22

12 Apr '22

Six PhD scholarships funded by the University of Padova are available at University of Padova for candidates interested in the area of *Statistical Sciences (start of activities: October 1st, 2022).* *Eligibility* The scholarship competition is open to applicants of any age or citizenship, holding a 2nd cycle degree or a single cycle degree from an Italian university or an equivalent qualification from other countries of at least four years’ duration (applicants can get their qualification no later than 30th September 2022). Admission is decided on the basis of qualifications and an interview. *Grant awarded* The annual grant will be of euros **16,243.00* *(gross amount). The grant will be awarded for three years and it will be subject to satisfactory progresses evaluated on a yearly basis. *How to apply* The call is published *(deadline May 13, 2022 - 1 pm CEST) *at the page _http://www.unipd.it/ricerca/dottorati-di-ricerca/bandi-e-graduatorie _ English version at the page _http://www.unipd.it/en/node/1053_ Please note that the curriculum has to be written by filling the template *CV_XXXVIII* available from the Course web page _http://www.stat.unipd.it/ricerca/ammissione_ and uploading the filled template in the online procedure. *Applications are only accepted online using the link indicated in the call.* For more information about the Statistical Sciences PhD program see _https://www.stat.unipd.it/ricerca/dottorato-di-ricerca_ For more information about admission see _http://www.stat.unipd.it/ricerca/ammissione_ or contact _phd(a)stat.unipd.it_ Kindest regards, PhD Secretariat on behalf of prof. Nicola Sartori Coordinator of the PhD Course in Statistics University of Padova - Italy *We apologize for cross posting * -- Phd in Statistics University of Padova - Italy tel +39 049 8274167 fax +39 049 8271524 dottorato(a)stat.unipd.it

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International Workshop "Random Fields and Their Applaications", April 14-15, 2022, Kyiv, Ukraine
by Alessia Caponera 12 Apr '22

12 Apr '22

Dear Colleagues, We would like to announce the forthcoming International Workshop «Random Fields and Their Applications», dedicated to the memory of the prominent Ukrainian mathematician Professor Mykhailo Yadrenko, on occasion on his 90th anniversary. Invited speakers from around the world will present the latest achievements in the theory of random fields, that is the area of research ideas of Professor Mykhailo Yadrenko. Scientific talks are scheduled for April 14 from 12:00 to 19:00 Kyiv time. The informal meeting of colleagues, descendants, former students of Mykhailo Yadrenko (and anyone who would like to share thoughts and memories) is scheduled for April 15 from 15:00 to 17:00 Kyiv time. The workshop will be conducted virtually via Zoom meeting. You can find the program and the Zoom link here: https://probability.knu.ua/randomfields2022/program.html Best wishes, Alessia Caponera

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Master in FINANCE, INSURANCE, and RISK MANAGEMENT (#MaFIRM) - Collegio Carlo Alberto & University of Turin
by Tiziano De Angelis 11 Apr '22

11 Apr '22

Dear All, I would be grateful if you could please pass the advert below to interested students. Best wishes Tiziano --------------------------------------------- The Master in FINANCE, INSURANCE, and RISK MANAGEMENT (#MaFIRM <https://www.linkedin.com/feed/hashtag/?keywords=mafirm&highlightedUpdateUrn…>), issued by Collegio Carlo Alberto & University of Turin, is organizing its 25th Edition. Mafirm is a full-time II-level Master for highly-skilled occupations requiring a quantitative finance and fintech background. The program is listed in the Risk.net <https://www.linkedin.com/company/risk-net/> "World’s Leading Quantitative Finance Master Programmes" (1st in Italy, 6th in Europe, 20th worldwide). Applications for the 2022-23 edition starting in September are now open! Applicants should hold a 3+2 Master (or a 4-year B.Sc./B.A.) in Economics, Finance, Mathematics, Engineering, Physics, Banking, Statistics, Data Science, and Computer Science. A number of merit-based full and partial scholarships (i.e., tuition fee waivers) are available. How to apply & details about the program and placement: https://www.carloalberto.org/education/master-in-finance/ For any questions, please contact roberto.marfe(a)unito.it

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3rd Spring Colloquium on Probability and Finance - Padova - 28-29 April 2022
by Claudio Fontana 11 Apr '22

11 Apr '22

Dear all, We are glad to announce the 3rd edition of the Spring Colloquium on Probability and Finance, held at the University of Padova, on 28-29 April 2022. The Colloquium will bring together researchers in stochastic analysis and mathematical finance, featuring invited plenary talks by leading scholars in the field as well as rising talents. This edition of the Colloquium is dedicated to Professor Wolfgang J. Runggaldier, on the occasion of his 80th birthday. Several talks will highlight recent advances on topics on which Wolfgang made fundamental contributions over the course of his intense career. Website: https://events.math.unipd.it/SpringColloquium3 <https://events.math.unipd.it/SpringColloquium3> Format: the Colloquium will be in a hybrid mode. Most of the invited speakers will be present in Padova and the conference room can accommodate a certain number of attendees (on a first-come first-served basis, depending on the order of registration). However, the Colloquium can also be attended online via Zoom. Detailed informations on the Zoom link and password will be sent to registered participants in due time. Registration: attendance is free but registration is required (on the conference website). When registering to the conference, please specify if you intend to attend the Colloquium in presence or remotely. For our convenience, we kindly ask to people that already register to the Colloquium to redo their registration, specifying the format of participation. Many thanks for your collaboration. We kindly ask you to register before April 18. Invited plenary speakers: Claudia CECI (University of Chieti-Pescara, IT) Christa CUCHIERO (University of Vienna, AT) Paolo DAI PRA (University of Verona, IT) Rüdiger FREY (Vienna University of Economics and Business, AT) Zorana GRBAC (University of Paris, FR) Monique JEANBLANC (University of Evry Val d'Essonne, FR) Yuri KABANOV (University of Besançon, FR) Andrea PASCUCCI (University of Bologna, IT) Eckhard PLATEN (University of Technology Sydney, AU) Thorsten SCHMIDT (University of Freiburg, DE) Martin SCHWEIZER (ETH Zurich, CH) Invited junior speakers: Matteo BRACHETTA (Politecnico di Milano, IT) Alessandro CALVIA (LUISS University, IT) Alekos CECCHIN (University of Padova, IT) Sara SVALUTO-FERRO (University of Verona, IT) We hope to see you in Padova! Best wishes, Giorgia Callegaro and Claudio Fontana

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[Polimi - Call for Interest Assegno di Ricerca]
by Daniele Marazzina 09 Apr '22

09 Apr '22

Con preghiera di diffusione fra le persone che potrebbero essere interessate. Grazie mille Daniele Marazzina >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> Il Qfinlab, gruppo di Finanza Quantitativa del Dipartimento di Matematica del Politecnico di Milano, è alla ricerca di una persona interessata a collaborare su temi ESG (principalmente) e di Educazione Finanziaria (in misura minore). La collaborazione sarà strutturata tramite un assegno di ricerca. Riguardo la tematica ESG, l'assegnista sarà chiamato a collaborare alla creazione di un database e alla sua gestione, oltre ad analisi statistiche ed economiche ai fini di pubblicazioni scientifiche. Riguardo la tematica Educazione Finanziaria, l'assegnista sarà chiamato a collaborare col gruppo nelle attività di educazione finanziarie per le scuole e gli adulti, oltre all'analisi di impatto di queste, ai fini di ricerca. L'assegno sarà della durata di un anno. E' richiesta una laurea magistrale, preferibilmente in economia, matematica, o ingegneria, o facoltà equivalenti. Gli interessati possono inviare il loro CV a qfinlab(a)polimi.it<mailto:qfinlab@polimi.it>. Seguirà poi bando competitivo per l'assegno di ricerca. Cordiali saluti Daniele Marazzina per il Team Qfinlab

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[Polimi - Call for Interest Assegno di Ricerca]
by Daniele Marazzina 09 Apr '22

09 Apr '22

Con preghiera di diffusione fra le persone che potrebbero essere interessate. Grazie mille Daniele Marazzina >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> Il Qfinlab, gruppo di Finanza Quantitativa del Dipartimento di Matematica del Politecnico di Milano, è alla ricerca di una persona interessata a collaborare su temi ESG (principalmente) e di Educazione Finanziaria (in misura minore). La collaborazione sarà strutturata tramite un assegno di ricerca. Riguardo la tematica ESG, l'assegnista sarà chiamato a collaborare alla creazione di un database e alla sua gestione, oltre ad analisi statistiche ed economiche ai fini di pubblicazioni scientifiche. Riguardo la tematica Educazione Finanziaria, l'assegnista sarà chiamato a collaborare col gruppo nelle attività di educazione finanziarie per le scuole e gli adulti, oltre all'analisi di impatto di queste, ai fini di ricerca. L'assegno sarà della durata di un anno. E' richiesta una laurea magistrale, preferibilmente in economia, matematica, o ingegneria, o facoltà equivalenti. Gli interessati possono inviare il loro CV a qfinlab(a)polimi.it. Seguirà poi bando competitivo per l'assegno di ricerca. Cordiali saluti Daniele Marazzina per il Team Qfinlab

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Master Mathématiques et Apprentissage Statistique all'Università di Versailles
by Cecilia Mancini 09 Apr '22

09 Apr '22

Inoltro questa informazione su un nuovo Master che partirà il prossimo Settembre all’Université Versailles Saint Quentin<http://www.uvsq.fr/>. A chi fosse interessato posso mandare i flyers sotto menzionati Saluti, Cecilia Da: Ester Mariucci <ester.mariucci(a)uvsq.fr> stiamo aprendo un nuovo Master (M1+M2) a Versailles. Si chiama Mathématiques et Apprentissage Statistique, Math&AS. Fa parte della Graduate School dell’Università Paris-Saclay ed é un “Master Recherche ouvert à l’entreprise”. Per essere chiari : é teorico ma non tanto quanto i master di Orsay, permette di andare subito a lavorare ma non é un master in alternance. Durante l’M1 i corsi sono teorici - ma comunque globalmente più di statistica applicata che matematica - (statistica matematica, machine Learning, modelli lineari, ottimizzazione, analisi dei dati, etc…) e c’é un po’ di informatica. Il secondo anno ci saranno dei corsi fatti da data scientists, e poi vari corsi avanzati sempre di machine learning e statistica. L’insegnamento é in francese, ci sono 2 stages di sei mesi ciascuno, uno per anno (quindi bisogna davvero parlare bene francese). Dato che la formazione debutta a Settembre cerco di diffondere la notizia il più possibile…non si sa mai che tu conosca studenti francofoni (o che se la cavano sufficientemente bene) potenzialmente interessati! Ti allego i flyers che abbiamo fatto per l’UVSQ e per Saclay con le informazioni sui programmi. Ci sono borse (anche per stranieri) : https://www.universite-paris-saclay.fr/admission/bourses-et-aides-financier…; https://www.fondation-hadamard.fr/fr/master-bourses-de-master/master-401-ap… e le candidature per iscriversi al master sono tra il 15 marzo e il 15 maggio. Sto ancora aspettando che il sito ufficiale di Saclay sia visibile, qui ci sono alcune informazioni : http://www.departement.math.uvsq.fr/masterMathAS Un caro saluto, Ester

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seminar: "Random structures and patterns in spatio-temporal data: probabilistic modelling and statistical inference", Radu Stoica, 12 April
by Umberto Picchini 09 Apr '22

09 Apr '22

You are welcome to the next Statistics seminar at Dept of Mathematical Sciences at Chalmers and Göteborg University, Sweden. On Tuesday April 12, Radu Stoica <https://sites.google.com/site/radustefanstoica/> will talk of: ///"Random structures and patterns in spatio-temporal data: probabilistic modelling and statistical inference"/ / / //*About the speaker: *Radu Stoica <https://sites.google.com/site/radustefanstoica/> is professor at Université de Lorraine, France. He is interested in probabilistic modeling and statistical inference for the analysis of spatio-temporal data // //* * *Abstract:* The useful information carried by spatio-temporal data is often outlined by geometric structures and patterns. Filaments or clusters induced by galaxy positions in our Universe are such an example. Two situations are to be considered. First, the pattern of interest is hidden in the data set, hence the pattern should be detected. Second, the structure to be studied is observed, so relevant characterization of it should be done. Probabilistic modelling is one of the approaches that allows to furnish answers to these questions. This is done by developing unitary methodologies embracing simultaneously three directions: modelling, simulation and inference. This talk presents the use of marked point processes applied to the detection and to the characterization of such structures. Practical examples are also shown.* * *Feel free to spread this announcement in your network.* * * *Where*: room MVL14 or https://chalmers.zoom.us/j/64160866575 Password: 024139 ** **** *When*: Tuesday 12 April at 14.30-15.30*(Stockholm time)*. ** -- _________________________________________________________ Umberto Picchini, Associate Professor, PhD, Docent https://umbertopicchini.github.io/ , twitter: @uPicchini

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International conference “Statistical Methods and Models for Complex Data" - SAVE THE DATE!
by Alessandra Fabbri Colabich 07 Apr '22

07 Apr '22

*On behalf of the Director of the Department of Statistical Sciences of the University of Padua:* SAVE THE DATE! *International conference “Statistical Methods and Models for Complex Data”* , *21-23 September 2022, Padova, Italy* The Department of Statistical Sciences of the University of Padova is organizing the international conference: “Statistical Methods and Models for Complex Data”. The conference will be held in Padova, Italy on 21-23 September 2022. The event is organized on the occasion of the 800th anniversary of the University of Padua and the last year of the excellence project of our department. The scientific program will include plenary sessions, with 45 minutes invited presentations from internationally recognized experts, followed by 25 minutes for interventions of two main discussants and informal moments of discussion and interaction between the participants. Participation of senior and young scientists involved in the developments of statistical methods and tools for complex data is strongly encouraged. The scientific program of the conference is available on the website *http://800years.stat.unipd.it <http://800years.stat.unipd.it>*. For further information, please contact: 800years(a)stat.unipd.it

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Fwd: two PhD positions
by Antonio Agresti 06 Apr '22

06 Apr '22

Ricevo ed inoltro. ---------- Forwarded message --------- Da: Mark Veraar - EWI <M.C.Veraar(a)tudelft.nl> Date: mar 5 apr 2022 alle ore 15:43 Subject: two PhD positions To: Mark Veraar - EWI <M.C.Veraar(a)tudelft.nl> Dear all, Within my NWO Vici grant "Foundations of Stochastic Partial Differential Equations" (FoundSPDE) I have two PhD positions available. It would be great if you could forward this announcement to potential candidates. Short description: At the Delft Institute for Applied Mathematics (DIAM), part of Delft University of Technology (TU Delft), NL, two full-time PhD positions in the mathematical analysis of stochastic partial differential equations are offered. The PhD candidate will be supervised by Prof.dr.ir. M.C. Veraar (part of the Analysis Group at DIAM). The focus of both of the projects is on well-posedness, regularity, long-time behavior, large deviations and/or approximation of solutions to parabolic and hyperbolic SPDEs of semi- and quasi-linear type. A background in Probability Theory and/or Analysis is preferable. The deadline for application is June 24th. For further details see https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?… Best regards, Mark Veraar ---------------------------- Professor dr. ir. M.C. Veraar Analysis section Delft Institute of Applied Mathematics. Faculty EEMCS Delft University of Technology https://fa.ewi.tudelft.nl/~veraar/

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(PMS)^2 in person and online talk: Daria Ghilli - April 11 at 14.00
by Carlo Orrieri 06 Apr '22

06 Apr '22

Dear colleagues, We are happy to announce the following hybrid - that is, in person with online streaming - talk: Speaker: Daria Ghilli (Università di Pavia) Title: A mean field game model in economics with spatial interactions in the human capital Abstract: We study an economic model where each agent chooses its position in space and its level of human capital maximizing its own utility and interacts with the other agents through the human capital. The main peculiarity of the model we consider consists in the presence of a spatial interaction term in the dynamic of the human capital, i.e. spatial spillovers on the accumulation of human capital and in the utility, i.e. spatial spillovers on the consumption. We adopt a Mean Field Game (MFG) approach and study a system of two partial differential equations, the MFG system, which arises as the continuum macroscopic description of the discrete multi-agents system emerging, heuristically, as the limit as the number of agents tends to infinity. The MFG system we study is expected to approximate Nash equilibria for the discrete multi-agents system when the number of players tends to infinity. This is a joint work with C. Ricci (Pisa) and G. Zanco (LUISS). Date and time: Monday April 11, 14:00-15:00 (Rome time zone) Place: Aula Beltrami, dipartimento di matematica dell’università di Pavia, via Ferrata 5, Pavia. Zoom Link: https://us02web.zoom.us/j/83190110958?pwd=QW5tOC9tcGgyTDNtaUJvenIrdGNZQT09 <https://us02web.zoom.us/j/83190110958?pwd=QW5tOC9tcGgyTDNtaUJvenIrdGNZQT09> ID riunione: 831 9011 0958 Passcode: 384911 This talk is part of the (PMS)^2: Pavia-Milano Seminar series on Probability and Mathematical Statistics organized jointly by the universities Milano-Bicocca, Pavia, Milano-Politecnico and Milano-Statale. Participation is free and welcome! Best regards The organizers (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita Zanella)

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Borse per visitatori provenienti da aree a rischio
by Faggionato, Alessandra 06 Apr '22

06 Apr '22

Cari tutti, vi mando sotto un messaggio in Inglese, cosi' che possa essere forwardato anche a stranieri. Grazie della collaborazione! Saluti Alessandra %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Dear all, Here in La Sapienza we have special grants for visiting professors/researchers from risk areas (such as Ukraine but also Russia) for up to 6 months with a gross salary of 3000 euros. These grants are for persons who have been/are exposed to some risk, e.g. they had to leave their countries. Do you know of some probabilists or other people working with probability who could be interested and are in a situation of necessity? The deadline of the application is *April 11* 12:00 (midday) and the application has to be done by a person in La Sapienza. Thanks Best Alessandra Faggionato, Vittoria Silvestri and Lorenzo Taggi -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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ICMNS2022 Digital - First announcement
by Massimiliano ... 05 Apr '22

05 Apr '22

Dear all, We are delighted to announce the 8th International Conference on Mathematical Neuroscience (ICMNS 2022). The conference will take place online from July 6th to 8th, 2022, between 14:00 and 18:00 (GMT+2). ICMNS is an interdisciplinary conference series, bringing together theoretical neuroscientists and mathematicians. The conferences are aimed at scientists interested in using or developing mathematical techniques for neuroscience problems. It is our pleasure to confirm that this year’s plenary speakers will be: * Danielle Bassett<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcomplexsy…> (University of Pennsylvania, USA) * Sue Ann Campbell<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.math.…> (University of Waterloo, Canada) * Thomas Serre<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fserre-lab…> (Brown University, USA) There will be 6 minisymposium sessions, covering a broad set of topics in mathematical neuroscience. Each minisymposium consists of 4 talks, 3 of which will be given by early career researchers. * Stochastic models for neuronal activity, Organiser: Laura Sacerdote<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.lauras…> (University of Turin, Italy) * Patterns and Rhythms in Balanced Neural Networks, Organiser: James MacLaurin<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpeople.nj…> (New Jersey Institute of Technology, USA) * Metastable dynamics in neural circuits, Organiser: Tilo Schwalger<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpage.math…> (Technische Universität Berlin, Germany) * Learning (and compressing) stochastic sequences of events, Organiser: Antonio Galves<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fime.usp.br…> (Universidade de São Paulo, Brasil) * Nonlinear PDEs of Fokker–Planck type in neuroscience, Organisers: Pierre Jules Abel Roux<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww1.math…> (University of Oxford, UK) and Susanne Solem<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ntnu.…> (Norwegian University of Science and Technology, Norway) * Dynamical system of psychiatric disorders, Organisers: Christoffer Alexandersen (University of Oxford, UK) and Louisiane Lemaire (Humboldt-Universität zu Berlin, Germany) In addition, there is an open call for micro-talks, delivered to the whole audience. Micro-talk sessions are one-hour sessions consisting of a sequence of very short introductions (2 minutes, 1 slide) by the presenters to their research, followed by an opportunity to chat with individual presenters about their research in breakout rooms. We encourage micro-talks submissions by researchers from all areas of mathematical neuroscience and at all career stages. Submissions can be made at this link<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…>. The submission deadline is the 31st of May at 23:59 (GMT+2). Please visit our website to submit subscribe to our mailing list and YouTube channel: * https://www.danieleavitabile.com/icmns2022digital/<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.danie…> * https://www.youtube.com/channel/UCXClLvVl35uBrYIgN8dOZsw<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtu…> We look forward to seeing you (virtually) in July! Best wishes, Áine Byrne Daniele Avitabile Massimiliano Tamborrino Etienne Tanré ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…>

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Summer School + workshoop on Reaction Networks
by Enrico Bibbona 04 Apr '22

04 Apr '22

Dear all, Politecnico di Torino is organizing the second edition of the following two events on Chemical Reaction Networks 1) Summer School on Stochastic Reaction Networks,10-16 July, 2022, Torgnon, Aosta Valley, Italy Instructors: David F Anderson (University of Wisconsin, Madison, US), L. Popovic (Concordia University, Montreal, CA). More info at https://areeweb.polito.it/disma-excellence/events_2022/CRNs/index.html 2) Workshop on Chemical Reaction Networks, 6-8 July, 2022, Torino, Italy This second event is taking place at Politecnico di Torino, and will cover both stochastic and deterministic Chemical Reaction Networks, modelling and inference. More info at https://areeweb.polito.it/disma-excellence/events_2022/CRNs_workshop/index.… Please forward this info to all potentially interested people you may know, especially to the youngest. With kindest regards, the organizers Daniele Cappelletti Enrico Bibbona Paola Siri Enrico Bibbona Associate Professor of Statistics Probability, Statistics and Optimization group Department of Mathematical Sciences "G. L Lagrange" Politecnico di Torino

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2 postdocs on network and graphical models
by Consonni Guido 04 Apr '22

04 Apr '22

On behalf of David Rossell (Universitat Pompeu Fabra) Postdocs in high-dimensional statistics for network & graphical models analysis, Barcelona We have two post-doctoral positions to work on a range of topics related to high-dimensional statistics for networks, ultra high-dimensional graphical models, frameworks linking networks and graphical models, multivariate structural learning and time series analysis. The positions are for 1 year, with a potential for extension to 18 months, with a gross yearly salary of 40,000 eur. The scope is ample and allows for sub-projects related to mathematical statistics and statistical learning theory, data analysis methodology in penalized likelihood and Bayesian statistics, and computational methods. The positions are related to a Huawei grant, which also offers opportunities to explore applications of the developed theory & methods. The project is primarily hosted by the Statistics group at UPF (https://sites.google.com/view/stats-upf<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…>) and the BSE Data Science Center (https://datascience.bse.eu<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdatascien…>) in Barcelona (Spain), and is in collaboration with Luc Devroye at McGill University in Montreal (Canada) and Piotr Zwiernik at the University of Toronto (Canada). The primary supervisors are Christian Brownlees, Luc Devroye, Gábor Lugosi, David Rossell and Piotr Zwiernik, although collaborations with other professors of these research groups are also possible. Interested candidates should send an updated CV and a short research statement to David Rossell (david.rossell(a)upf.edu<mailto:david.rossell@upf.edu>). They should ask 3 referees to send a letter of reference on their behalf. The deadline for applying for the first position is April 30 2022, the deadline for the second position is June 15 2022. -- David Rossell Director, BSE Master's in Data Science Methodology and BSE Data Science Center Associate professor, Dept. of Economics & Business, Universitat Pompeu Fabra (Office 1E46, Jaume I building) [http://static.unicatt.it/ext-portale/FirmaOutlook.jpg]<http://www.unicatt.it/> [http://static.unicatt.it/ext-portale/5xmille-firma-mail-scritta.jpg]

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Seminar in Pisa: Ruojun Huang
by Francesco Grotto 04 Apr '22

04 Apr '22

Dear Colleagues, we would like to invite you to the following seminar by Ruojun Huang (Scuola Normale Superiore) to be held Wednesday (April 6th) at Dipartimento di Matematica in Pisa and online via Google Meets. The organizers, A. Agazzi and F. Grotto -------------------------------------------- Location: Sala Seminari, Dipartimento di Matematica, Pisa Google Meet Link: https://meet.google.com/gji-phwo-vbg Time: April 6th, 2022, 14:00 CET Speaker: Ruojun Huang (Scuola Normale Superiore) Title: Coagulation under environmental noise Abstract: Environmental noise in a continuum interacting particle system is a space-dependent noise acting on all particles simultaneously. We prove that a system of locally interacting diffusions carrying discrete masses, subject to an environmental noise and undergoing mass coagulation, converges to a system of Stochastic Partial Differential Equations (SPDEs) with Smoluchowski-type nonlinearity. It partially extends a result of Hammond-Rezakhanlou (2007) who considered the PDE case, with our motivation coming from trying to understand the effect of turbulence on rain formations. Based on a joint work with Franco Flandoli.

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ROBUST STATISTICS: few places are still available, and an opportunity for publication
by Francesca Greselin 04 Apr '22

04 Apr '22

Apologies for cross-posting Please *FORWARD this information to your PhD STUDENTS and POST-DOC RESEARCHERS.* The III International School on Classification and Data Analysis ROBUST STATISTICS: FOUNDATIONS AND RECENT DEVELOPMENTS <https://rsfd.lakecomoschool.org/> organized under the auspices of CLADAG <http://cladag.it/about/>, ERS-IASC <https://iasc-isi.org/ers-mission/>, and the University of Milano-Bicocca, will be held - in presence - on 2-6 May, 2022 in the awesome location of Villa del Grumello <https://www.villadelgrumello.it/it/>, on the shore of Como <https://www.lakecomo.is/it/>Lake <https://www.lakecomo.is/it/> (Como, Italy). Lecturers Anthony Atkinson <https://www.researchgate.net/profile/Anthony_Atkinson3>, London School of Economics, UK Agustin Mayo-Iscar <https://www.researchgate.net/profile/Agustin_Mayo>, University of Valladolid, ES Marco Riani <https://www.researchgate.net/profile/Marco_Riani>, University of Parma, IT Francesca Greselin <https://www.researchgate.net/profile/Francesca-Greselin> *,* University of Milano-Bicocca, IT The deadline has been postponed till April 9. Few places are still available. Publication in the Open Access journal *Statistica e Applicazioni *(Indexed in Scopus <https://www.scopus.com/> - Google Scholar <https://scholar.google.com/> - Current Index to Statistics <https://www.statindex.org/> - Ulrich's Periodicals Directory <http://ulrichsweb.serialssolutions.com/> - SCImago Journal & Country Rank <https://www.scimagojr.com/journalsearch.php?q=21100851482&tip=sid&clean=0>) is available for participants in the School. All are invited to prepare a manuscript on robust methods applied to their field of research. Thank you for your attention, Francesca Greselin

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Fwd: Pathway to Research scheme
by Elisabetta Candellero 03 Apr '22

03 Apr '22

Ricevo e inoltro. Elisabetta ---------- Forwarded message --------- From: Matt Roberts <mattiroberts(a)gmail.com> Date: Thu, Mar 31, 2022 at 3:13 PM Subject: Pathway to Research scheme To: <APPLIEDPROB(a)jiscmail.ac.uk> Dear all, The following scheme may be of interest to undergrads. We would like as many applications as possible, so please spread the word! Thanks, Matt ---------------- Pathway to Research scheme - a scheme for students completing, or having completed, a BSc or taught Masters The SAMBa CDT, based in the Department of Mathematical Sciences at the University of Bath, is seeking applicants to its Pathway to Research scheme. This will provide three people, who have the potential to be excellent mathematical researchers, but who have – for any number of reasons – not been able to take advantage of enough mathematical training to get them ready for PhD research, with a year long programme of training and mentorship in a research environment, plus a £10,000 bursary, resulting in an MSc qualification. https://www.bath.ac.uk/campaigns/start-your-research-career-in-mathematics-… Barriers to academic progress that applicants may have faced could include significant caring responsibilities, the need to work during their studies, a lack of access to fundamental mathematics courses (e.g. Further Maths A level), having had a restricted choice of location for their undergraduate degree, and there will be many more. It may be that there are people on your courses, or those who have recently graduated, who are unaware that a career in research mathematics was even an option and please can I encourage you to make them aware of this scheme. The deadline for applications is 16th May, with a visit day for those who apply planned for 26th May. ######################################################################## To unsubscribe from the APPLIEDPROB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=APPLIEDPROB&A=1 This message was issued to members of www.jiscmail.ac.uk/APPLIEDPROB, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/

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Environment and sustainability: new challenges and perspectives for Statistics - Politecnico di Milano
by Laura Maria Sangalli 02 Apr '22

02 Apr '22

#VERSOILFESTIVALDELLASTATISTICA22 Environment and sustainability: new challenges and perspectives for Statistics Martedì 3 maggio 2022 ore 14.00 Politecnico di Milano Intervengono: Prof. Pedro Delicado, Universitat Polytecnica de Catalunya “Wildfires vegetation recovery through satellite remote sensing and functional data analysis” Prof. Alessandro Fassò, Università degli Studi di Bergamo "Statistical modelling of COVID-19 impact on maritime carbon emissions” Prof. Piercesare Secchi, Politecnico di Milano "Environment and sustainability: new challenges and perspective for Statistics” Tavola rotonda, presieduta da Piercesare Secchi, con la partecipazione di Corrado Crocetta, Presidente della Società Italiana di Statistica, e di alcuni membri del Comitato Scientifico di GRASPA Dettagli e registrazione a https://www.mate.polimi.it/events/statfest/ <https://www.mate.polimi.it/events/statfest/> —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email: laura.sangalli(a)polimi.it url: http://mox.polimi.it/~sangalli

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MOX 20 Years Anniversary - Politecnico di Milano
by Laura Maria Sangalli 02 Apr '22

02 Apr '22

MOX Laboratory for Modeling and Scientific Computing, Politecnico di Milano https://mox.polimi.it Dear Colleagues, MOX turns 20! To celebrate this event, a one-day scientific event, MOX20, will take place at the Politecnico di Milano on May 27th, 2022. Since 2002, MOX promotes research in the field of mathematical modeling, data science, and scientific computing in Science and Engineering. During the event, some recent success stories of collaboration between MOX and its scientific and industrial partners will be presented, with a preview of future scientific challenges. The event will feature in particular the participation of Prof. Jean-Pierre Bourguignon (IHES-France and former ERC President), Prof. Jan Hesthaven (Vice President at EPFL-Switzerland), Prof. Victor Panaretos (EPFL-Switzerland) and Prof. Antonio F. Corno (University of Texas Health-USA). For more information, visit the webpage https://mox.polimi.it/mox20/ The event will be held in person and will be streamed for those who wish to follow it in online mode. Participation is very welcome and free of charge. However, for organizational reasons registration is mandatory. Please fill in the form https://www.mate.polimi.it/registrazione/MOX20_registrazione.php by April 27th, 2022. With best regards, The MOX20 Organizing Committee —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email: laura.sangalli(a)polimi.it url: http://mox.polimi.it/~sangalli

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ECSO-CMS 2022 - Last Call for Papers and Extended Deadline
by Martina Nardon 30 Mar '22

30 Mar '22

Apologies for cross-posting Dear Colleagues, we invite you to submit contributions to ECSO – CMS 2022 that will be held on 29-30 June - 1 July 2022, in Venice, at the Department of Economics - Ca’ Foscari University, in the San Giobbe Economics Campus. *Joint EUROPEAN CONFERENCE ON STOCHASTIC OPTIMIZATION and COMPUTATIONAL MANAGEMENT SCIENCE Conference * *29-30 June - 1 July 2022, Venice, Italy* ECSO - CMS 2022 is jointly organized by the Department of Economics of Ca’ Foscari University of Venice, the CMS Journal and the EURO Working Group on Stochastic Optimization. VENUE: Department of Economics, Ca’ Foscari University of Venice San Giobbe Campus – Cannaregio 873, 30121 Venice, Italy Webpage: www.unive.it/ecsocms2022 <http://www.unive.it/ecsocms2021> Conference Secretariat: ecsocms2022(a)unive.it Conference hashtag: #ecsocms2022 IMPORTANT DATES Abstract submission – *NEW DEADLINE: April 12, 2022* Notification of acceptance: *April 20, 2022* Early registration: *April 30, 2022* Best student paper prize: *May 15, 2022* A *prize for the student best paper* will be awarded. Papers should be nominated via e-mail by the students’ supervisors (ecsocms2022(a)unive.it) *Deadline for the submissions to the prize is May 15.* The program will include a devoted session for presenting the best papers to compete for the prize, such that the jury could make the final choice. The paper does not have to be published. The papers should be principally authored by the student, but co-authors are permitted as long as their contributions are clarified. Only registered participants’ papers will be considered for the prize.Jury for the Student Best Paper Prize: Stein-Erik Fleten (NTNU Norwegian University of Science and Technology), Milos Kopa (Charles University of Prague), Francesca Maggioni (University of Bergamo), Ruediger Schultz (University Duisburg-Essen). We are looking forward to seeing you in Venice. Best Regards, Diana Barro, Stein-Erik Fleten and Martina Nardon Organizing and Program Committees Chairs -------------------------------------- Dr. Martina Nardon Dipartimento di Economia Università Ca' Foscari Venezia San Giobbe - Cannaregio, 873 30121 Venezia, Italy tel. +39 041 234 7413 --------------------------------------

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Seminario Caponera Tor Vergata
by Domenico Marinucci 30 Mar '22

30 Mar '22

Cari colleghi venerdì prossimo 1 aprile alle ore 15.30 avrà luogo presso il Dipartimento di Matematica di Roma Tor Vergata il seguente seminario: ------------------------------------------------------------------------------------------------------ Aula 1200, Edificio Sogene Speaker: Alessia Caponera (EPFL) Title: Nonparametric Estimation of Covariance and Autocovariance Operators on the Sphere Abstract: We propose nonparametric estimators for the second-order central moments of spherical random fields within a functional data context. We consider a measurement framework where each field among an identically distributed collection of spherical random fields is sampled at a few random directions, possibly subject to measurement error. The collection of fields could be i.i.d. or serially dependent. Though similar setups have already been explored for random functions defined on the unit interval, the nonparametric estimators proposed in the literature often rely on local polynomials, which do not readily extend to the (product) spherical setting. We therefore formulate our estimation procedure as a variational problem involving a generalized Tikhonov regularization term. The latter favours smooth covariance/autocovariance functions, where the smoothness is specified by means of suitable Sobolev-like pseudo-differential operators. Using the machinery of reproducing kernel Hilbert spaces, we establish representer theorems that fully characterize the form of our estimators. We determine their uniform rates of convergence as the number of fields diverges, both for the dense (increasing number of spatial samples) and sparse (bounded number of spatial samples) regimes. We moreover validate and demonstrate the practical feasibility of our estimation procedure in a simulation setting. Based on a joint work with Julien Fageot, Matthieu Simeoni and Victor M. Panaretos -------------------------------------------------------------------------------------------------------- Grazie per l'attenzione, Domenico Marinucci -- @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ Domenico Marinucci Dipartimento di Matematica Università di Roma Tor Vergata https://www.mat.uniroma2.it/~marinucc/ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@

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Padua Probability Seminar: Jodi Dianetti (this Friday)
by Markus 30 Mar '22

30 Mar '22

Dear All, This Friday,*Jodi Dianetti* (Center for Mathematical Economics, Bielefeld University) will give a seminar talk on Submodular mean field games, which will be held in person and online via Zoom. Details: * Date and time: Friday, April 1, 2022 at 14.30 pm * Place: room 2BC30 at the Department of Mathematics, University of Padova (Torre Archimede, via Trieste, 63, 35121 Padova) * Zoom link: please visit the webpage https://www.math.unipd.it/~bianchi/seminari/ * Title: Submodular mean field games: Existence and approximation of solutions * Abstract: We study mean field games with scalar Itô-type dynamics and costs that are submodular with respect to a suitable order relation on the state and measure space. The submodularity assumption has a number of interesting consequences. Firstly, it allows us to prove existence of solutions via an application of Tarski's fixed point theorem, covering cases with discontinuous dependence on the measure variable. Secondly, it ensures that the set of solutions enjoys a lattice structure: in particular, there exist a minimal and a maximal solution. Thirdly, it guarantees that those two solutions can be obtained through a simple learning procedure based on the iterations of the best-response-map. Our approach also allows to treat submodular mean field games with common noise, as well as mean field games with singular controls, optimal stopping and reflecting boundary conditions. This talks is based on some joint works together with Giorgio Ferrari, Markus Fischer and Max Nendel. On behalf of the organizers, Markus Fischer Dipartimento di Matematica "Tullio Levi-Civita" Università degli Studi di Padova via Tieste, 63 35121 Padova https://www.math.unipd.it/~fischer/

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