Random April 2022

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44 participants
52 discussions

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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