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School on Robust Statistics: Theory and Computation - Ispra (IT) - 15-17 May 2025
by Francesca Greselin 17 Feb '25

17 Feb '25

*School on Robust Statistics: Theory and Computation* *Date:* 15-17 May 2025 *Location:* Joint Research Centre of the European Commission, Ispra (Varese), Italy The *School on Robust Statistics* <https://datascience.maths.unitn.it/icors2025/school.html> is an *educational event* tailored for students, early-career researchers, and professionals. It precedes the International Conference on Robust Statistics (ICORS 2025) <https://datascience.maths.unitn.it/icors2025/> and offers a unique opportunity to learn from leading experts in robust statistics. The school will cover a broad range of topics central to robust statistics, starting with foundational principles and concepts that underpin robustness, such as breakdown points, influence functions, and the asymptotic properties of robust estimation techniques. These foundational elements are crucial for understanding why robust methods are indispensable in real data analysis, particularly in scenarios where standard approaches fail. Whether you are a student just beginning your journey into robust statistics or an experienced researcher looking to stay at the forefront of the field, this school provides an opportunity to learn, connect, and grow in an intellectually stimulating environment. *Lectures will be delivered in English.* The school has an excellent lineup of top-class lecturers covering a range of diverse topics in Robust Statistics: - Rik Lopuhaä (TU Delft, Netherlands) - Abhik Ghosh (Indian Statistical Institute, India) - Peter Rousseeuw (KU Leuven, Belgium) - Marco Riani (University of Parma, Italy) - Valentin Todorov (UNIDO, Austria) *Registration:* - *Opening Date:* 15 January 2025 - *Fee:* Free of charge - *Link to Register:* https://web.jrc.ec.europa.eu/remjrc/screen/meeting/16640/registration-form For further details, please visit: https://datascience.maths.unitn.it/icors2025/school.html ------------------------------ We look forward to welcoming you to *Ispra!* Best regards, The ICORS 2025 Organizing Committee - Claudio Agostinelli (University of Trento) - Francesca Greselin (University of Milano Bicocca) - Domenico Perrotta (Joint Research Center) - Marco Riani (University of Parma) Francesca Greselin <https://www.unimib.it/francesca-greselin>, Associate Professor University of Milano-Bicocca Scopus <https://www.scopus.com/authid/detail.uri?authorId=25936155400> - Wos <https://www.webofscience.com/wos/author/record/A-8770-2015> - ArXiv <https://arxiv.org/search/?query=Francesca+Greselin&searchtype=all&source=he…> - Personal page <https://sites.google.com/unimib.it/francesca-greselin> - ResearchGate <https://www.researchgate.net/profile/Francesca-Greselin/research> - ‪‪Google Scholar‬ <https://scholar.google.com/citations?hl=it&user=xOOTbBAAAAAJ> https://unimib.webex.com/meet/francesca.greselin

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Lecturer Positions at Bath in Probability and Numerical Analysis
by Avi Mayorcas 14 Feb '25

14 Feb '25

The University of Bath has just opened up two permanent Lecturer (Assistant Professor) positions, one focussed in probability, the other in numerical analysis and data science. The positions are 50/50 teaching and research, adverts below. Probability: https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=ED12448 Numerical Analysis and Data Science: https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=ED12447 Avi

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Seminari Padova - Claudio Macci e Jonathan Tam
by alekos.cecchin＠unipd.it 14 Feb '25

14 Feb '25

Buongiorno a tutti, Vorremmo segnalarvi che venerdì prossimo (21 Febbraio) in aula 1BC45 (Torre Archimede, Università di Padova) ci saranno due seminari per il ciclo di seminari in Probabilità e Finanza di: 1. Claudio Macci (Università di Roma Tor Vergata) <https://www.mat.uniroma2.it/~macci/> https://www.mat.uniroma2.it/~macci/ Title: Large and moderate deviations for Gaussian neural networks Date: February 21, 2025, at 14:30, room 1BC45 Abstract: We prove large and moderate deviations for the output of Gaussian fully connected neural networks. The main achievements concern deep neural networks (i.e., when the model has more than one hidden layer) and hold for bounded and continuous pre-activation functions. However, for deep neural networks fed by a single input, we have results even if the pre-activation is ReLU. When the network is shallow (i.e., there is exactly one hidden layer) the large and moderate principles hold for quite general pre-activations and in an infinite-dimensional setting. Joint work with Barbara Pacchiarotti (Università di Roma Tor Vergata) and Giovanni Luca Torrisi (IAC-CNR). 2. Jonathan Tam (Università di Verona) <https://sites.google.com/view/jonathanyytam/home> https://sites.google.com/view/jonathanyytam/home Title: Extended mean-field control: a finite-dimensional numerical approximation Date: February 21, 2025, at 15:30, room 1BC45 Abstract: We present a finite-dimensional numerical approximation for a class of extended mean field control problems. Our algorithm learns the value function on the whole Wasserstein domain, as opposed to a fixed initial condition. We leverage the approximation of the mean field problem by a finite-player cooperative optimization problem, due to the propagation of chaos, together with the usage of finite-dimensional solvers. This avoids the need to directly approximate functions on an infinite-dimensional domain, and allows for more efficient memory usage and faster computation times. Vi aspettiamo numerosi! Alberto Chiarini e Alekos Cecchin Sito web del seminario: https://www.math.unipd.it/~chiarini/seminars/

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Seminars in Statistics at Collegio Carlo Alberto - Nial Friel (University College Dublin)
by Matteo Giordano 14 Feb '25

14 Feb '25

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…> Venerdì 21/02/2025, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ 12.00-13.00 Speaker: Nial Friel (University College Dublin) Title: The clustered Mallows model Abstract: Rankings represent preferences that arise from situations where assessors arrange items, for example, in decreasing order of utility. Orderings of the item set are permutations that reflect strict preferences. However, strict preference relations can be unrealistic for real data. In large item sets, assessors might prioritise certain items, rank others low, and express indifference towards the remaining. Rank aggregation may involve decisive judgments in some parts and ambiguity in others. In this talk, we extend the famous Mallows (Mallows, 1957) model (MM) to accommodate item indifference. Grouping similar items motivates the proposed Clustered Mallows Model (CMM), a MM counterpart for tied ranks with ties learned from the data. The CMM provides the flexibility to combine strictness and indifferences, describing rank collections as ordered clusters. Bayesian inference for the CMM is a doubly-intractable problem since the normalised model is unavailable. We overcome this with a version of the exchange algorithm (Murray et al.,2006) and provide a pseudo-likelihood approximation as a computationally cheaper alternative. Analysis of two real-world ranking datasets is presented, showcasing the practical application of the CMM and highlighting scenarios where it offers advantages over alternative models. ------------------------------------------------ Sarà possibile il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare una email entro *mercoledì 19/02/2025 * a matteo.giordano(a)unito.it <mailto:matteo.giordano@unito.it> Il webinar è organizzato dalla "de Castro" Statistics Initiative (www.carloalberto.org/stats <http://www.carloalberto.org/stats>) in collaborazione con il Collegio Carlo Alberto. Cordiali saluti, Matteo Giordano Assistant Professor (RTDA) Department of Economics, Social Studies, Applied Mathematics and Statistics (ESOMAS) www.matteogiordano.weebly.com <https://matteogiordano.weebly.com/>

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Fwd: First announcement - QFT conference in Roma, 15-17 sept 2025
by Francesco Caravenna 14 Feb '25

14 Feb '25

Ricevo e con piacere inoltro. FC > Da: Alessandro Giuliani <alessandro.giuliani(a)uniroma3.it> > Oggetto: First announcement - QFT conference in Roma, 15-17 sept 2025 > > Dear colleagues, > > it is a pleasure to announce the conference > > QFT AT THE CROSSROADS between MATHEMATICS AND PHYSICS > > which will take place on September 15-17, 2025, at the Department of Physics of Sapienza Università di Roma. > > The conference is the closing event of the PRIN project "Mathematical Interacting Quantum Fields" and it will focus on the long-standing problem of the non-perturbative foundation of Quantum Field Theory. > > Recent years have seen a revived interest both of mathematicians and physicists on this central question. New techniques and approaches are being developed by different communities. This conference aims at gathering researchers with different backgrounds and favoring a constructive dialogue about methods and future research directions. > > The list of speakers is attached below. > > The REGISTRATION is free but mandatory (deadline: March 21, 2025) and is available on the workshop website: > > https://sites.google.com/view/qft-at-the-crossroads > > For additional informations, please write at alessandro.giuliani(a)uniroma3.it <mailto:alessandro.giuliani@uniroma3.it>. > > Please feel free to circulate the announcement among colleagues and students who may be interested in the event. > > With best regards, > > Alessandro Giuliani and Vieri Mastropietro > > SPEAKERS: > > Roland Bauerschmidt (NYU) > Sourav Chatterjee (Stanford) > Jon Dimock (SUNY Buffalo) > Jürg Fröhlich (ETH Zurich) > Giovanni Gallavotti (Roma Sapienza) > Holger Gies (FSU Jena) > Alessandro Giuliani (Roma Tre) > Razvan Gurau (Heidelberg) > Clement Hongler (EPFL Lausanne) > David Kaplan (Washington) > Igor Klebanov (Princeton) > Christoph Kopper (Polytechnique Palaiseau) > Antti Kupiainen (Helsinki) > Marcos Mariño (Geneva) > Vieri Mastropietro (Roma Sapienza) > Kasia Rejzner (York) > Slava Rychkov (IHES) > Manfred Salmhofer (Heidelberg)

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Announcement PhD course@UniPD - Mathematical Climate Finance, by Prof. Andrea Macrina
by Tiziano Vargiolu 14 Feb '25

14 Feb '25

We are pleased to announce the PhD course "Mathematical Climate Finance", held by Prof. Andrea Macrina (Department of Mathematics, University College London) The course is organized by the Doctoral Program in Mathematical Sciences, under the framework "Shaping a World-Class University" of the University of Padova --------------------- Outline This is an introduction to mathematical climate finance by in-depth treatment of some of the recent advances in this burgeoning field of research in financial mathematics. The focus will be on climate transition risk that, together with physical risk, is a major source of climate change risk impacting economies and financial markets. The mathematics, especially the formulation and modelling aspects, on which climate finance is based, is at the core of this course. The aim is thus the study and development of climate finance anchored in financial mathematics. Mathematical climate finance is an active area of research, and this course aims at keeping up- to-date with new insights and ongoing research progress in academia and the industry. A taste of the topic treated in this course can be sampled from the cover story in the Fields Notes, Vol. 12:4, Spring/Summer 2024. https://www.fields.utoronto.ca/sites/default/files/uploads/01875_FI_FieldsN… A more detailed description of the course can be found here: https://www.math.unipd.it/~dottmath/corsi2025/Macrina.pdf --------------------------- The course will consist of 16 hours, beginning on February 25, 2025 with the following calendar: 25/2 h. 15-17 27/2 h. 16-18 4/3 h. 15-17 6/3 h. 16-18 11/3 h. 15-17 13/3 h. 16-18 18/3 h. 15-17 19/3 h. 15-17 The course is free, but for organizing reasons we kindly ask all interested people to enroll the course here: https://servizi-esterno.math.unipd.it/userlist/lista/view?id=118 ------------------ Best regards Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

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OWABI - Ayush Bharti - Feb 27
by Massimiliano Tamborrino 13 Feb '25

13 Feb '25

Dear all, the next OWABI seminar<http://www.warwick.ac.uk/oneworldabc> is scheduled on Thursday the 27th February at 11am. I am pleased to inform you that our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference ", with an abstract reported below. The talk will be streamed on MS Teams on the OWABI Ms Teams channel OWABI Seminar: One World Approximate Bayesian Inference Seminar | General | Microsoft Teams<https://teams.microsoft.com/l/team/19%3AdhZ_4e_XLNJzCXPAMzTvT6BZ5KShEETkd_w…> You could join the meeting with the link and details below Join the meeting now<https://teams.microsoft.com/l/meetup-join/19%3adhZ_4e_XLNJzCXPAMzTvT6BZ5KSh…> Meeting ID: 311 178 293 223 Passcode: zg3E8kw3 Important: The virtual lobby has been removed, so everyone should now be able to join the seminar without any authorisation. Abstract: Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computational cost of simulating data from complex models, and the fact that this cost often depends on parameter values. We therefore propose cost-aware SBI methods which can significantly reduce the cost of existing sampling-based SBI methods, such as neural SBI and approximate Bayesian computation. This is achieved through a combination of rejection and self-normalised importance sampling, which significantly reduces the number of expensive simulations needed. Our approach is studied extensively on models from epidemiology to telecommunications engineering, where we obtain significant reductions in the overall cost of inference. Keywords: simulation-based inference, approximate Bayesian computation, neural posterior estimation, neural likelihood estimation, importance sampling Best, Massimiliano on the behalf of the OWABI Organisers ------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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QFinLab Seminar - Marzia De Donno (Università Cattolica del Sacro Cuore) - 19/2/2025, 12:15 @ Department of Mathematics, Politecnico di Milano
by Alessandro Calvia 13 Feb '25

13 Feb '25

Dear colleagues, you are all invited to participate in the following seminar organized by QFinLab - Department of Mathematics, Politecnico di Milano. Wednesday, 19 February 2025, 12.15-13.15 Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus) Marzia De Donno (Università Cattolica del Sacro Cuore) Title: Short rate models with stochastic discontinuities: a PDE approach. Abstract: With the recent reform of interest rate benchmarks, interbank offered rates (IBORs) like LIBOR have been replaced by risk-free rates (RFRs), such as the Secured Overnight Financing Rate (SOFR) in the U.S. and the Euro Short-Term Rate (€STR) in Europe. These rates exhibit characteristics like jumps and spikes that correspond to specific market events, driven by regulatory and liquidity constraints. To capture these characteristics, this paper considers a general short-rate model that incorporates discontinuities at fixed times with random sizes. Within this framework, we introduce a PDE-based approach for pricing interest rate derivatives. For affine models, we derive (quasi) closed-form solutions, while for the general case, we develop numerical methods to solve the resulting PDEs. (Joint work with A. Calvia, C. Guardasoni, S. Sanfelici). Next seminar: Katia Colaneri (Università di Roma Tor Vergata), 5 March 12.00. All news can be found on the QFinLab webpage<https://www.qfinlab.polimi.it/seminars-and-meetings/>. The organizers: Michele Azzone and Alessandro Calvia

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Procedura selettiva 2025RTT01 - Università di Padova
by Alessandra Fabbri Colabich 13 Feb '25

13 Feb '25

Si informa che è stato pubblicato il bando *2025RTT01 * relativo all'indizione di una procedura selettiva per l’assunzione di n. 15 ricercatori a tempo determinato in tenure-track (RTT) ai sensi dell’art. 24 della legge 240/2010 come modificato dalla L. 79/2022. In particolare, presso il Dipartimento di Scienze Statistiche: - uno nel *GSD 13/STAT-01*, SSD STAT-01/A STAT-01/B (Allegato 12) - uno nel *GSD 13/STAT-02*, SSD STAT-02/A (Allegato 13) Info al link: https://www.unipd.it/procedura-2025RTT01 *Scadenza: 13.03.2025 ore 13* Si prega di dare la massima diffusione presso tutti gli interessati. Grazie per la collaborazione Alessandra Fabbri Colabich -- Dott.ssa Alessandra Fabbri Colabich Università degli Studi di Padova Dipartimento di Scienze Statistiche

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Open Day – PhD Program in Mathematics, University of Bologna
by Andrea Pascucci 13 Feb '25

13 Feb '25

The PhD School in Mathematics at the University of Bologna is pleased to invite you to the Open Day of the PhD Program in Mathematics, an event dedicated to master’s students interested in pursuing advanced studies and research. During the event, you will have the opportunity to explore the main research areas within the PhD program, meet faculty members and PhD students, gain insights into the curriculum, and receive useful information on admission procedures, scholarships, and career opportunities. At the end of the presentations, there will be a dedicated session for questions and individual discussions. 📅 Date: Wednesday, March 5th, 2025 📍 Link: https://sites.google.com/view/mathphd-openday-bologna/home Don't miss this opportunity to learn more about the PhD Program in Mathematics! -- --------------------------------------------------------------- Andrea Pascucci andrea.pascucci(a)unibo.it Dipartimento di Matematica P.zza di Porta S. Donato, 5 40126 Bologna - Italy Office Tel. +39-0512094428 Fax +39 0510821834 https://sites.google.com/view/andrea-pascucci/ Skype: andrea.pascucci https://unibo.zoom.us/j/8625962910 ---------------------------------------------------------------

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