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PhD in Statistics & Computer Science - Call for Applications
by Antonio Lijoi 08 Nov '22

08 Nov '22

******************* PhD in Statistics and Computer Science - a.y. 2023-2024 Call for applications for PhD student positions ******************* The Bocconi PhD School provides 7 scholarships for the PhD in Statistics and Computer Science, and a position with tuition waiver. * Scholarship amount * 20,000 euros per annum Further funding may be available through teaching and research assistantship. Visit www.unibocconi.eu/admissionphd for detailed information. ** Applications are due by February 1, 2023 ** Within the PhD School at Bocconi University, the four-year PhD program in Statistics and Computer Science is a high profile and rigorous doctoral program that develops strong mathematical, statistical, computational and programming backgrounds. The curriculum is structured into two tracks: Statistics and Computer Science. The first year includes courses that are compulsory for all enrolled PhD students. The second-year features track-specific and elective courses that provide students with a more specialized competence and focus on topics that may be the object of the doctoral dissertation. Dedicated mentorship is offered to students throughout their time at Bocconi. Multidisciplinary interchange with other graduate programs in Bocconi’s PhD School, as well as research experience abroad, are also encouraged. The Faculty includes internationally acknowledged top researchers in Statistics, Computer Science, Machine Learning, Decision Theory and Statistical Physics. The program also benefits from contributions of authoritative visiting professors who deliver short monographic courses. Highly qualified and motivated students with M.Sc. degrees in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering and related areas, as well as other quantitatively-oriented fields, are encouraged to apply for admission. Applicants should hold, or be on their way to hold, a graduate degree or equivalent. For further information about the PhD program in Statistics and Computer Science at Bocconi, visit www.unibocconi.eu/phdstatscompscience and feel free to contact: Antonio Lijoi (antonio.lijoi(a)unibocconi.it) Angela Baldassarre, PhD administrative assistant (angela.baldassarre(a)unibocconi.it)

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Cambio indirizzo mail
by Moro, Ornella 08 Nov '22

08 Nov '22

Buongiorno, sono iscritta alla lista con questa mail che verrà disattivata a breve, vorrei spostare l'iscrizione sulla mail personale ornella.moro17(a)gmail.com Grazie -- Ornella Moro Ph.D. <https://phd.uniroma1.it/web/ORNELLA_MORO_nP1324468_IT.aspx> Università di Roma "La Sapienza" moro(a)mat.uniroma1.it

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YEP 18th edition - "Spectra of random graphs and related combinatorial problems"
by matteo quattropani 07 Nov '22

07 Nov '22

Dear colleagues, registration is now open for the workshop "Spectra of random graphs and related combinatorial problems" taking place on March 27 - 31 2023 in EURANDOM at Eindhoven University of Technology. Since the first workshop in 2004, the Young European Probabilists (YEP) series has spawned 17 highly successful editions on a wide range of topics. The theme of its 18th edition will be spectra of random graphs, random matrices and related combinatorial problems. In this workshop, we provide a platform where young and more senior researchers from the area of random matrices, random graphs and related topics can come together and exchange their research, find new collaborations and learn about different perspectives on the topic. Mini courses taught by: Alice Guionnet - ENS de Lyon UMPA Antti Knowles - University of Geneva Justin Salez - Université Paris-Dauphine - CEREMADE Speakers: Johannes Alt - University of Geneva Luisa Andreis - University of Florence Fanny Augeri - University of Paris - LPSM Jean Barbier - ICTP Trieste Simon Coste - University of Paris Pierfrancesco Dionigi - Leiden University Luca Ganassali - INRIA Paris Johannes Heiny - Ruhr University Bochum Ivan Kryven - Utrecht University Camille Male - University of Bordeaux Jaron Sanders - Eindhoven University of Technology More details and registration can be found at https://www.eurandom.tue.nl/event/yep-xviii-spectra-of-random-graphs-and-re… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.euran…> There is no registration fee. With best regards, Matteo Quattropani (also on behalf of the other organisers Alessandra Cipriani, Rajat Subhra Hazra, Noela Müller)

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Tenure-track Assistant Professor position at Toulouse School of Economics
by Ferrari, Giorgio 07 Nov '22

07 Nov '22

Dear Colleagues, I forward the following announcement for a tenure-track Assistant Professor position at Toulouse School of Economics. Best regards, Giorgio Ferrari %%%%%%%%%%%%%%%* * *Tenure-track Assistant Professor in Applied Mathematics / Statistics** * The Department of Mathematics and Statistics at Toulouse School of Economics (TSE) has an opening for a tenure-track Assistant Professor position beginning September 1, 2023. TSE offers an exceptional professional and scientific environment to achieve tenure such as: •reduced teaching hours, competitive salary, •high-quality scientific environment in Toulouse, •strong interaction with the prominent Department of Economics, •very pleasant working conditions in a major city in south of France,new building in the city center. Applicants must have a Ph.D. (expected completion by June 30, 2023 acceptable) and show outstanding potential and achievement in research, as wellas excellent teaching skills. For full consideration, candidates should submitby January 9, 2023 the following materials: (1) cover letter, (2) curriculumvitae, (3) statements on research (with links to the publications or preprintsand a scientific project for the coming years) and teaching, and (4) ask threereferences to send their letters by January 23, 2023. Questions, application,and reference letters should be sent to recruitment-math-junior(a)tse-fr.eu.

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Fwd: MSc Course on Montecarlo simulation for finance
by Enea Bongiorno 07 Nov '22

07 Nov '22

Ricevo e con piacere inoltro. Enea ---------- Forwarded message --------- From: Gianluca Fusai <gianluca.fusai(a)uniupo.it> Date: Mon, 7 Nov 2022 at 12:55 Subject: MSc Course on Montecarlo simulation for finance To: Enea Bongiorno <enea.bongiorno(a)uniupo.it>, Aldo Goia < aldo.goia(a)uniupo.it> Cari Enea e Aldo Potreste segnalare alla vs associazione il corso in questione? Grazie -------------------------------------------- *Introduction to Monte Carlo Simulation in Finance (5th edition)* tenuto da dr. Ioannis Kyriakou (Bayes Business School, City, University of London) c/o DISEI - UPO - Novara Il corso di 16 h. si terrà dalle 9.00 alle 13.00 nelle seguenti date Wednesday 16th of November, Friday 18th of November Wednesday 23rd of November, Friday 25th of November Per informazioni su iscrizioni e costi (tariffa agevolata per studenti con possibilità di sostenere la prova d'esame tramite due progetti di gruppo in Matlab) è possibile scrivere a: manfin(a)uniupo.it Un caro saluto Gianluca -- Gianluca Fusai - Full Professor of Financial Mathematics *Dipartimento di Studi per l'Economia e l'Impresa* *Università del Piemonte Orientale* *Presidente del corso di Laurea Magistrale* *Management & Finanza <https://www.uniupo.it/tuttostudenti/lofferta-formativa-colpo-docchio/i-cors…>* *NEW: Stochastic Calculus Website <https://sites.google.com/uniupo.it/stochasticcalculus/home?authuser=1>* *NEW: Default Probability Calculator <https://sites.google.com/uniupo.it/by-gianluca-fusai/default-calculator>* *t *+39 <%2B39%200161%20228417>0321 375312 <%2B39%200161%20228417> *@ *gianluca.fusai(a)uniupo.it *w **https://upobook.uniupo.it/gianluca.fusai* <https://upobook.uniupo.it/gianluca.fusai>* <http://multiblog.uniupo.it/>* *ssrn* http://ssrn.com/author=741916 <http://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=74196> *h* Via Perrone 18, 28100 Novara (Italy) <https://www.google.it/maps/place/Via+Ettore+Perrone,+18,+28100+Novara+NO/@4…> -- Enea Bongiorno,PhD Associate Professor of Statistics Università degli Studi del Piemonte Orientale Via Perrone 18, 28100, Novara, Italia Phone: +390321375317 enea.bongiorno(a)uniupo.it upobook.uniupo.it/enea.bongiorno

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Seminario Van Bever UPO - domani ore 16.00
by Enea Bongiorno 07 Nov '22

07 Nov '22

Cari colleghi, inoltro promemoria per il seguente seminario. Un cordiale saluto a tutti, Enea Bongiorno -------------------------------------- 8th of November, at 16.00: - in presence: room 201 of the campus Perrone, via Perrone, 18, Novara Università del Piemonte Orientale, Dipartimento di Studi per l’Economia e l’Impresa. - on-line at the link: meet.google.com/yvq-ccbt-pzt Prof. Germain Van Bever Université de Namur, Belgio Title: Flexible Hilbertian Additive Regression with Small Errors-in-Variables Abstract: In this talk, we present a new framework of additive regression modelling for data in very generic settings. More precisely, we tackle the problem of estimating component functions of additive models where the regressors and/or response variable belong to general Hilbert spaces and can be imperfectly observed. By this,we mean that some variables can be either measured incompletely or with errors. Smooth backﬁtting methods are used to estimate consistently the component functions and we provide explicit rates of convergence. We amply illustrate our methodology in various settings, including the functional, Riemannian and Hilbertian settings. -- Enea Bongiorno,PhD Associate Professor of Statistics Università degli Studi del Piemonte Orientale Via Perrone 18, 28100, Novara, Italia Phone: +390321375317 enea.bongiorno(a)uniupo.it upobook.uniupo.it/enea.bongiorno

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Seminar in Statistics - MASSIMILIANO PONTIL
by Pierpaolo De Blasi 07 Nov '22

07 Nov '22

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Venerdi 11 Novembre 2022, alle ore 12.00, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Speaker: *Massimiliano Pontil* (Italian Institute of Technology and University College London) Title: *Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces* Abstract: In the last couple of years the Koopman operator framework attracted a lot of attention due to growing use of data-driven dynamical systems in science and engineering. Relevant results span fields of functional analysis, numerical algorithms, as well as machine learning. In this talk we will focus on discrete dynamical systems modelled by Markov chains and their study through the corresponding Koopman operator. While many data-driven algorithms to reconstruct such operators are well known, their relationship with statistical learning is largely unexplored. We will introduce a framework to learn the Koopman operator from a finite data sample of the dynamical system. We will limit to the important case when the Markov chain admits an invariant distribution and, relying on the theory of reproducing kernel Hilbert spaces (RKHS), introduce a notion of risk from which different estimators naturally arise. Special attention will be given to the estimation of the Koopman spectral properties, and in particular its modal decomposition (KMD) that is of paramount importance in practice. With this framework we will analyse, theoretically and empirically, some existing estimators, e.g. (extended) dynamic mode decomposition (DMD), and introduce a novel reduced-rank operator regression (RRR) estimator. We will further present learning bounds for the proposed estimator, holding for both data drawn i.i.d. from the invariant distribution and for non i.i.d. data gathered from the trajectories of the dynamical system, the latter in terms of mixing coefficients. (Joint work with V. Kostic, P. Novelli, A. Maurer, C. Ciliberto, L. Rosasco) ------------------------------------------------ Sarà possibile seguire il seminario anche in streaming: Join Zoom Meeting <https://us02web.zoom.us/j/83848292614?pwd=MzV0UnhBN1RScTN0aWMvZ3lZdkpwQT09> Meeting ID: 838 4829 2614 Passcode: 771221 Il seminario è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats -- Pierpaolo De Blasi University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

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Bruti Liberati Prize - call for applications (fwd)
by Tiziano Vargiolu 07 Nov '22

07 Nov '22

Bruti Liberati Prize CALL FOR APPLICATIONS Dear Tiziano Vargiolu We are happy to announce the Bruti Liberati Prize 2022. Theses defended in 2020 and 2021 can be submitted this time. Application deadline is January 31st, 2023, 12:00 (UTC +1). You find all the necessary information on the website https://www.bachelierfinance.org/nicola-bruti-liberati-prize?mc_cid=36910c7… With best regards, Denise Denise Künzli Administrative Director of BFS ***************************************** ETH Zurich Denise Künzli Department of Mathematics HG G 32.3 Rämistrasse 101 8092 Zurich Switzerland Tel +41 44 632 64 65 Fax +41 44 632 14 74 email denise.kuenzli(a)math.ethz.ch Copyright © 2022 Bachelier Finance Society, All rights reserved. You were subscribed to the newsletter from Bachelier Finance Society Our mailing address is: Bachelier Finance SocietyRaemistrasse 101 Zürich 8092 Switzerland Add us to your address book Want to change how you receive these emails? You can update your preferences or unsubscribe from this list. Email Marketing Powered by Mailchimp [open.php?u=702156a1168de89843425f38f&id=36910c77a9&e=70b34a9999]

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Seminario Sapienza Martedì 8 Novembre
by Lorenzo Taggi 07 Nov '22

07 Nov '22

Cari colleghi, riporto l'annuncio del seminario di Matteo Quattropani presso il dipartimento di Matematica di Sapienza Università di Roma. Cordiali saluti, Lorenzo Taggi *Data e ora: *Martedì 8 Novembre, ore 14.15, Sala di Consiglio, Dipartimento di Matematica di Sapienza Università di Roma *Title: *Mixing of the Averaging process on graphs *Speaker:* Matteo Quattropani, Sapienza Università di Roma *Abstract:* The Averaging process (a.k.a. repeated averages) is a mass redistribution model over the vertex set of a graph. Given a graph G, the process starts with a non-negative mass associated to each vertex. The edges of G are equipped with Poissonian clocks: when an edge rings, the masses at the two extremes of the edge are equally redistributed on these two vertices. Clearly, as time grows to infinity the state of the system will converge (in some sense) to a flat configuration in which all the vertices have the same mass. The process has been introduced to the probabilistic community by Aldous and Lanoue [1] in 2012, and recently received some attention thanks to the work of Chatterjee, Diaconis, Sly and Zhang [2], where the authors show an abrupt convergence to equilibrium (measured in L^1 distance) in the case in which the underlying graph is complete (and of diverging size). In this talk, I will present some recent results obtained in collaboration with F. Sau (IST Austria) [3,4] and P. Caputo (Roma Tre) [4]. In [3] we show that if the underlying graph is “finite dimensional” (e.g., a finite box of Z^d), then the convergence to equilibrium is smooth (i.e., without cutoff) when measured in L^p with p \in [1,2]. On the other hand, in [4] we show that a cutoff phenomenon (for the L^1 and L^2 distance to equilibrium) takes place when the underlying graph is the hypercube or the complete bipartite graph. [1] David Aldous, and Daniel Lanoue. A lecture on the averaging process. Probab. Surv., 9:90–102, 2012. [2] Sourav Chatterjee, Persi Diaconis, Allan Sly, and Lingfu Zhang. A phase transition for repeated averages. Ann. Probab. 50(1):1–17, 2022. [3] Matteo Quattropani and Federico Sau. Mixing of the Averaging process and its discrete dual on finite-dimensional geometries. Ann. Appl. Probab. (to appear). [4] Pietro Caputo, Matteo Quattropani and Federico Sau. Cutoff for the Averaging process on the hypercube and complete bipartite graphs. (to appear).

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SPASS seminars: Giulia Livieri & Robin Stephenson - TUE 08.11 at 14:00
by Andrea Agazzi 06 Nov '22

06 Nov '22

Dear Colleagues, We would like to invite you to the following SPASS <https://sites.google.com/unipi.it/spass> seminars, jointly organized by UniPi, SNS, UniFi and UniSi: - *N-player Games and Mean Field Games of Moderate Interaction* Giulia Livieri (Scuola Normale Superiore di Pisa) - *Scaling Limits of Multi-Type Markov Branching Trees* Robin Stephenson (University of Sheffield) The seminars will take place in person on *TUE, 08.11.2022 at 14:00* (the second talk starting at 15:00) in Sala Seminari, Dipartimento di Matematica, University of Pisa and streamed online here <https://meet.google.com/gji-phwo-vbg>. The organizers, A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco https://sites.google.com/unipi.it/spass -------------------------------------------- Abstracts: *N-player Games and Mean Field Games of Moderate Interaction* *We study the asymptotic organization among many optimizing individuals interacting in a suitable "moderate" way. We justify this limiting game by proving that its solution provides approximate Nash equilibria for large but finite player games. This proof depends upon the derivation of a law of large numbers for the empirical processes in the limit as the number of players tends to infinity. Because it is of independent interest, we prove this result in full detail. We characterize the solutions of the limiting game via a verification argument.* *Scaling Limits of Multi-Type Markov Branching Trees* *Consider a population where individuals have two characteristics: a size, which is a positive integer, and a type, which is a member of a finite set. This population reproduces in a Galton-Watson fashion, with one additional condition: given that an individual has size n, the sum of the sizes of its children is less than or equal to n. We call multi-type Markov branching tree the family tree of such a population.*

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