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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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