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Seminario Davide Bignamimi - Politecnico di Milano - 27 Novembre 2024
by Luca Scarpa 18 Nov '24

18 Nov '24

Si segnala il seguente seminario a tutti gli interessati. Mercoledì 27 Novembre 2024, ore 11:00. Aula Seminari III Piano, Dipartimento di Matematica, Politecnico di Milano. Speaker: Davide Bignamini, Università degli Studi dell'Insubria. Title: Strong uniqueness for SPDEs and regularity of Kolmogorov equations. Abstract: Pathwise uniqueness plays a crucial role in the investigation of the existence of strong solutions to Stochastic Differential Equations (SDEs) since the seminal result by Yamada and Watanabe in 1971, where they proved that weak existence and pathwise uniqueness imply strong existence. A few years later, Zvonkin introduced the so-called Zvonkin transformation, which allows to remove a drift term by means of a suitable change of coordinates using the Ito formula, and then applies the result of Yamada and Watanabe to construct strong solutions to a class of SDEs with rough drift coefficient. In recent years, these techniques have been extended to Stochastic Partial Differential Equations (SPDEs) . One of the main tools for proving pathwise uniqueness in infinite dimensions is the so-called Itô-Tanaka trick, which involves replacing the "bad" drift term with the solution to a suitable Kolmogorov equation. In this talk, we will examine these topics for a class of parabolic and hyperbolic SPDEs. Link Zoom: <https://polimi-it.zoom.us/j/94505074623> Join our Cloud HD Video Meeting<https://polimi-it.zoom.us/j/94505074623> polimi-it.zoom.us<https://polimi-it.zoom.us/j/94505074623> [zoom.ico]<https://polimi-it.zoom.us/j/94505074623> Link Seminario Polimi: <https://www.mate.polimi.it/eventi/?id=2503> Eventi Dipartimento di Matematica - Politecnico di Milano<https://www.mate.polimi.it/eventi/?id=2503> mate.polimi.it<https://www.mate.polimi.it/eventi/?id=2503> [apple-touch-icon-152x152-precomposed.png]<https://www.mate.polimi.it/eventi/?id=2503> ----- Prof. Luca Scarpa, PhD Associate Professor in Probability Department of Mathematics Politecnico di Milano Via E. Bonardi 9 20133 Milano, Italy e.mail: luca.scarpa(a)polimi.it<mailto:luca.scarpa@polimi.it> url: https://sites.google.com/view/lucascarpa

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Call postdoc @Unisi
by Piero MAZZARISI 18 Nov '24

18 Nov '24

Dear colleagues, I want to advertise a call for a one-year (renewable) postdoc position at the University of Siena on: “Time-varying parameters models of climate change, financial stability, and systemic risk” The project is founded by PRIN 2022 PNRR n. P20229CJRS “Climate change, Uncentainty, and Financial Risk: Robust Approaches based on Time-Varying Parameters”. A synthetic description of the project topic can be found here: https://www.unisi.it/sites/default/files/albo_pretorio/bandi/concorsi_inter… Gross salary: 35000 Euro (yearly) Deadline for applications: December 3rd, 2024 The call as well as instructions for application, can be found here: https://www.unisi.it/albo_pretorio/bandi/concorsi_interni/conferimento-di-u… Do not hesitate to contact me for any info. Best regards, Piero Mazzarisi — Piero Mazzarisi Department of Economics and Statistics University of Siena Personal website: https://pieromazzarisi.wordpress.com <https://pieromazzarisi.wordpress.com/>

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MOX COLLOQUIUM 21.11.24 ore 14:00 Politecnico di Milano - Prof Klaus-Robert Müller - Technische Universität Berlin
by Laura Maria Sangalli 18 Nov '24

18 Nov '24

Cari Colleghi, vi ricordo il seguente seminario della serie dei MOX COLLOQUIA, presso il Dipartimento di Matematica del Politecnico di Milano Seguirà rinfresco. 21.11.24, Ore 14:00 - Aula Consiglio VII piano - Dipartimento di Matematica Speaker: Klaus-Robert Müller, Technische Universität Berlin Titolo: Machine Learning and AI for the Sciences: toward understanding Abstract: In recent years, machine learning (ML) and artificial intelligence (AI) methods have begun to play a more and more enabling role in the sciences and in industry. In particular, the advent of large and/or complex data corpora has given rise to new technological challenges and possibilities. In his talk, Müller will touch upon the topic of ML applications in the sciences, in particular in chemistry and physics. He will also discuss possibilities for extracting information from machine learning models to further our understanding by explaining nonlinear ML models. Finally, Müller will briefly discuss perspectives and limitations. Il seminario verrà erogato anche in modalità on-line attraverso la piattaforma Cassyni, si vedano i seguenti link: https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2… https://cassyni.com/events/HPfFtf7ELqgkkzqR7cbDru Per seguire il seminario è necessario iscriversi alla piattaforma Cassyni, seguendo le istruzioni indicate sotto. Tutti gli interessati sono cordialmente invitati. Un cordiale saluto, Laura --------------- Info generale: I MOX Colloquia si sono spostando sulla piattaforma Cassyni. Li trovate al link https://cassyni.com/s/mox-colloquia Tutti gli interessati possono iscriversi al canale (semplicemente cliccando il tasto blu "Subscribe" nella pagina principale). —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy (+39) 02 2399 4554 laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it> https://sangalli.faculty.polimi.it

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Conference: Matrix-Analytic Methods in Stochastic Models, June 25-27, 2025
by Federico Poloni 18 Nov '24

18 Nov '24

Hello All, We are pleased to announce that the 12th edition of the Matrix-Analytic Methods in Stochastic Models (MAM) Conference will be held in the heart of Toronto, Canada, at the Fields Institute, from June 25th to June 27th, 2025. While the MAM 12 Conference will be held in person and all presentations will take place in person, live streaming will be available to registered attendees who are unable to attend the conference in person. You can register via the conference homepage: https://sites.google.com/ontariotechu.net/mam-12-conference/home We are excited to have four distinguished keynote speakers who will bring their valuable insights to the conference: • Dr. Amy Ward (University of Chicago) • Dr. Ivo Adan (Eindhoven University of Technology) • Dr. Mark Squillante (IBM Research) • Dr. Opher Baron (University of Toronto and CEO of SiMLQ) After the conference, speakers will have the option to submit their full papers for publication in a special issue of Performance Evaluation (PEVA). We look forward to welcoming you to Toronto for what promises to be an exceptional gathering of researchers from across engineering, mathematics, and the sciences. Warm regards, Organizing co-chairs: Dr. Amir Rastpour (Ontario Tech University) Dr. Yiqiang Zhao (Carleton University) Program co-chairs: Dr. Brian Fralix (Clemson University) Dr. Federico Poloni (University of Pisa) -- --Federico Poloni Dipartimento di Informatica, Università di Pisa https://www.di.unipi.it/~fpoloni/ tel:+39-050-2213143

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Fwd: Announcement: Workshop "Stochastic processes on random geometries” at TU Braunschweig
by Faggionato, Alessandra 18 Nov '24

18 Nov '24

Buongiorno, ricevo e con piacere inoltro. Saluti Alessandra ---------- Forwarded message --------- From: Andres, Sebastian <sebastian.andres(a)tu-braunschweig.de> Dear Colleagues, We kindly ask for your support in sharing the following announcement: The Institute for Mathematical Stochastics at the* Technical University Braunschweig* will host the Workshop *"Stochastic processes on random geometries”* scheduled from* February 17-21 2025.* The program will feature two mini lecture series delivered by: *Martin Barlow* (University of British Columbia) *Nina Gantert* (TU Munich) In addition, the event will include 14 invited lectures and one session dedicated to young researchers. The specific topics include random walks in random environment, static and dynamic percolation, interacting particle systems, statistical mechanics and their applications in physics, materials science and biology. Our aim is to provide a platform for the presentation of recent results, national and international scientific exchange and the education of younger scientists that are interested in the subject. For more information, including a list of invited speakers and a link for registration, see the workshop webpage https://www.tu-braunschweig.de/stochastik/aktuell/workshops The workshop is supported by the *SSP2265 "Random Geometric Systems"*. Best regards, On behalf of the Organising Committee, Sebastian Andres and Benedikt Jahnel -- ************************************************* Prof. Alessandra Faggionato https://www1.mat.uniroma1.it/people/faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 123, first floor *************************************************

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Seminar of Francesco Caravenna - Thursday 21th of Nov., 16.00-17.00
by SAU FEDERICO 14 Nov '24

14 Nov '24

Dear all, this is to announce the following seminar in Probability and Mathematical Physics, jointly organized with Marcello Porta and Tamara Grava from SISSA. Speaker: Francesco Caravenna (University of Milano-Bicocca) Title: The 2d Stochastic Heat Equation and related critical models Abstract: We present recent progress in understanding a class of "critical" models, including the Stochastic Heat Equation and Kardar-Parisi-Zhang Equation (KPZ) in two space dimensions, as well as a random walk model in statistical mechanics, known as the directed polymer in random environment. We discuss in particular the construction of a non-trivial solution for the ill-posed two-dimensional Stochastic Heat Equation, which has led to a novel object named the critical 2d Stochastic Heat Flow. Venue, date and time: SISSA, Room 134, on Thursday November 21 at 16:00. With best regards, Federico (for the organizers)

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Save the date: OWABI - Jeremias Knoblauch - Nov 28
by Massimiliano Tamborrino 14 Nov '24

14 Nov '24

Dear all, the next One World Approximate Bayesian Inference (OWABI) Seminar<https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldsem…> is scheduled on Thursday, November 28 at 11am. Our next OWABI speaker is Jeremias Knoblauch<https://jeremiasknoblauch.github.io/> (UCL), who will talk about "Post-Bayesian machine learning ", with the following Abstract: In this talk, I provide my perspective on the machine learning community’s efforts to develop inference procedures with Bayesian characteristics that go beyond Bayes’ Rule as an epistemological principle. I will explain why these efforts are needed, as well as the forms which they take. Focusing on some of my own contributions to the field, I will trace out some of the community’s most important milestones, as well as the challenges that lie ahead. Throughout, I will provide success stories of the field, and emphasise the new opportunities that open themselves up to us once we dare to go beyond orthodox Bayesian procedures. Keywords: Generalised Bayes; robustness; Bayesian machine learning. The talk will be streamed on MS Teams: Join the meeting now<https://teams.microsoft.com/l/meetup-join/19%3adhZ_4e_XLNJzCXPAMzTvT6BZ5KSh…> Meeting ID: 310 294 300 441 Passcode: Pmgfnq In case you missed the 1st OWABI talk by Ullriche Köthe, you can find his slides and recorded talk on the OWABI webpage<https://warwick.ac.uk/oneworldabc>. We are looking forward to seeing you all, 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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SPASS Seminar: João Pedro Mangi
by Gianmarco Bet 12 Nov '24

12 Nov '24

Dear Colleagues, We would like to invite you to the following SPASS seminar, jointly organized by UniPi, SNS, UniFi and UniSi: *Exclusion Processes with non-reversible boundary: Hydrodynamics and Large Deviations* by *João Pedro Mangi* (*IMPA*) The seminar will take place on TUE, 19.11.2024 at *11:00 CET* in Aula Tricerri, Dipartimento di Matematica e Informatica "Ulisse Dini", Università degli Studi di Firenze, and streamed online at this link <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 -------------------------------------------- *Abstract: We consider a family of exclusion processes defined on the discrete interval with weak boundary interaction that allows the creation and annihilation of particles on a neighborhood of radius L of the boundary under very general rates. We prove that the hydrodynamic equation is the heat equation with non-linear Robin boundary conditions. We present a particular choice of boundary rates for which we have multiple stationary solutions but for which it still holds the uniqueness of the solution of its hydrodynamic equation. We also prove the associated dynamical large deviations principle. Joint work with Claudio Landim and Beatriz Salvador.*

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Women in Mathematical Finance @Pavia
by Giacomo Bormetti 11 Nov '24

11 Nov '24

Dear Colleagues, It is a pleasure to announce the cycle "Women in Mathematical Finance" co-organized with Daria Ghilli from the Department of Economics and Management, University of Pavia, and Gabriele Cedrani, alumnus of the Collegio Ghislieri. The venue is Collegio Ghislieri, Aula Goldoniana, Piazza Ghislieri 5, Pavia. Wednesday, November 27, 2024, 6:00 - 8:00 PM CET Prof. GIULIA LIVIERI (London School of Economics) An Overview on Mean Field Games and Applications Wednesday, February 19, 2025, 6:00 - 8:00 PM CET Prof. SARA SVALUTO-FERRO (Università di Verona) Signatures in Finance: Life, Death, and Miracles Thursday, March 13, 2025, 6:00 - 8:00 PM CET Prof. GIULIA IORI (Università Ca' Foscari Venezia) Networks and Agent-Based Modelling in Finance Monday, March 17, 2025, 6:00 - 8:00 PM CET Prof. BEATRICE ACCIAIO (ETH Zurich) Beyond Models: Exploring Model-Independent Finance via Optimal Transport Monday, March 31, 2025, 6:00 - 8:00 PM CET Prof. GIORGIA CALLEGARO (Università di Padova) Stochastic control and recent applications to cybersecurity: A quick guided tour On the same days, the speakers will give a talk at the Department of Economics and Management, Via San Felice al Monastero, 5 Pavia. Giulia Livieri will give the first seminar. Wednesday, November 27, 2024, 1:30 - 2:30 PM CET, Sala del Consiglio Prof. Giulia Livieri, London School of Economics A Mean Field Game approach for pollution regulation of competitive firms Abstract: We develop a model based on mean-field games of competitive firms producing similar goods according to a standard AK model with a depreciation rate of capital generating pollution as a byproduct. Our analysis focuses on the widely-used cap-and-trade pollution regulation. Under this regulation, firms have the flexibility to respond by implementing pollution abatement, reducing output, and participating in emission trading, while a regulator dynamically allocates emission allowances to each firm. The resulting mean-field game is of linear quadratic type and equivalent to a mean-field type control problem, i.e., it is a potential game. We find explicit solutions to this problem through the solutions to differential equations of Riccati type. Further, we investigate the carbon emission equilibrium price that satisfies the market clearing condition and find a specific form of FBSDE of McKean-Vlasov type with common noise. The solution to this equation provides an approximate equilibrium price. Additionally, we demonstrate that the degree of competition is vital in determining the economic consequences of pollution regulation. Joint work with G. Del Sarto and M. Leocata. We look forward to meeting you in Pavia. Kind Regards, Giacomo Bormetti Giacomo Bormetti Department of Economics and Management, University of Pavia

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Introduction to Monte Carlo Simulation in Finance
by Enea Bongiorno 11 Nov '24

11 Nov '24

ricevo ed inoltro. Enea ***************************************************** Carissimi segnalo il corso Introduction to Monte Carlo Simulation in Finance (7th edition) tenuto dal prof. Ioannis Kyriakou (Bayes Business School, City, University of London) c/o DISEI - UPO - Novara Il corso in inglese della durata di 16 h. si terrà nelle seguenti giornate (sia in presenza sia in remoto) Tuesday 19th of November, h. 11.00-13.00 and 14.00-16.00 Wednesday 20th of November, h. 09.00-13.00 Thursday 21th of November, h. 09.00-13.00 Friday 22nd of November, h. 09.00-13.00 Per informazioni su iscrizione e costi (tariffa agevolata per studenti, soci SIS e UMI) è possibile scrivere a: manfin(a)uniupo.it. Un caro saluto Gianluca Fusai ***************************************************** -- Enea G. Bongiorno, Università degli Studi del Piemonte Orientale - Amedeo Avogadro Via Perrone 18, 28100, Novara, Italia Phone: +390321375317 enea.bongiorno(a)uniupo.it upobook.uniupo.it/enea.bongiorno ------ IWFOS 2025 6th International Workshop on Functional and Operatorial Statistics - iwfos2025.uniupo.it <https://iwfos2025.uniupo.it/home> Math-Stat Seminars at UPO seminari-ms.uniupo.it/home-page ------

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Fwd: Announcement of Workshop on Disordered Media, Budapest, January 27-31, 2025
by Faggionato, Alessandra 11 Nov '24

11 Nov '24

Buongiorno ricevo e con piacere inoltro. Saluti Alessandra ---------- Forwarded message --------- From: Balint Toth <balint(a)renyi.hu> Date: Mon, 11 Nov 2024 at 13:03 Subject: Announcement of Workshop on Disordered Media, Budapest, January 27-31, 2025 Dear Friends and Colleagues, It is our pleasure to inform you about the following upcoming event to be held at the Rényi Institute/Erdős Center <https://erdoscenter.renyi.hu/>, in Budapest: * Workshop on Disordered Media January 27-31, 2025* The list of invited speakers (and more information) is available at the webpage of the workshop: https://erdoscenter.renyi.hu/events/workshop-disordered-media The goal of the workshop is to bring together probabilists working on subjects related to statistical physical phenomena in random and disordered media. The workshop will be held at the Rényi Institute, Budapest, Hungary. It is part of the Semester on Probability and Statistical Physics (January-June 2025) <https://erdoscenter.renyi.hu/articles/probability-and-statistical-physics-2…> hosted by Erdős Center. *Registration is now open, with deadline: 20 December 20**24**.* Registrations will be accepted up to the capacity of the lecture hall (~ 80, including the invited speakers). In order to register you are asked to send an email to probstatphys25(a)renyi.hu, with the subject "Workshop on Disordered media registration" and containing your name and affiliation. There is no registration fee. Information about accommodation in Budapest (list of hotels near the venue) available at the web page. [Note: The workshop is a follow-up of the winter school with the same title <https://erdoscenter.renyi.hu/events/school-disordered-media> held on the previous week, 20-24 Jan 2025, meant for PhD students and early career researchers.] With our best wishes, Ágnes Backhausz, Gábor Pete, Balázs Ráth and Bálint Tóth (the organisers) -- ************************************************* Prof. Alessandra Faggionato https://www1.mat.uniroma1.it/people/faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 123, first floor *************************************************

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Seminar MAGGIS
by Stefano Pagliarani 11 Nov '24

11 Nov '24

Dear all, On November 19th, in the classroom Aula 1, Department of Physics of the University of Bologna, at Via Berti Pichat 6-6/2, the following seminar will take place: * 14:00-15:00: Marco MAGGIS "CONSISTENCY ISSUES IN STATE-DEPENDENT PREFERENCES" as part of the cycle Stochastics and Applications. The abstract is available at https://www.dm.unibo.it/seminari/mat/serials/36 For any question, please contact the organizer: Stefano Pagliarani (stefano.pagliarani9(a)unibo.it) ------------------------------------------------------------------------------------------------------------------------ Stefano Pagliarani, Associate Professor Piazza di Porta S. Donato, 5 University of Bologna (Alma Mater) 40126 Bologna (BO), Italy Department of Mathematics Cell. Phone +39 366 5013755 Email: stepagliara1(a)gmail.com<mailto:stepagliara1@gmail.com>, <mailto:stefano.pagliarani9@unibo.it> stefano.pagliarani9(a)unibo.it<mailto:stefano.pagliarani9@unibo.it> Zoom: https://unibo.zoom.us/j/3755841669 -----------------------------------------------------------------------------------------------------------------------

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Seminario CLIMATH 20 Novembre
by Marta Leocata 09 Nov '24

09 Nov '24

Cari colleghi, Il gruppo UMI-Climath è lieto di invitarvi a una serie di seminari, in presenza e online, dedicati ai recenti avanzamenti teorici nello studio dei modelli matematici della variabilità climatica e dei modelli che includono gli impatti socio-economici associati. Maggiori dettagli sono disponibili sul sito del gruppo Climath: https://sites.google.com/view/gruppo-umi-climath/seminari-ed-attività-del-g… <https://sites.google.com/view/gruppo-umi-climath/seminari-ed-attivit%C3%A0-…> Il Prossimo seminario si terrà in data Mercoledì 20 novembre 2024, alle ore 14:30, presso l’Aula 1101 (D’Antoni), Dipartimento di Matematica, Tor Vergata, Roma, oppure online tramite Teams (richiesta registrazione al link: https://forms.gle/kuPKvHqLDP4RTLj4A) Ecco il programma: 14:30 - Valerio Lucarini (University of Leicester) Titolo: Detecting and Attributing Change in Climate and Complex Systems: Foundations, Green's Functions, and Nonlinear Fingerprints Abstract: Detection and attribution (D&A) studies are cornerstones of climate science, providing crucial evidence for policy decisions. Their goal is to link observed climate change patterns to anthropogenic and natural drivers via the optimal fingerprinting method (OFM). We show that response theory for nonequilibrium systems offers the physical and dynamical basis for OFM, including the concept of causality used for attribution. Our framework clarifies the method's assumptions, advantages, and potential weaknesses. We use our theory to perform D&A for prototypical climate change experiments performed on an energy balance model and on a low-resolution coupled climate model. We also explain the underpinnings of degenerate fingerprinting, which offers early warning indicators for tipping points. Finally, we extend the OFM to the nonlinear response regime. Our analysis shows that OFM has broad applicability across diverse stochastic systems influenced by time-dependent forcings, with potential relevance to ecosystems, quantitative social sciences, and finance, among others. 15:20 - Discussione 15:30 - Gianmarco Del Sarto (Technische Universität Darmstadt) Titolo: Some Perspective on Climate Change through Energy Balance Models Abstract: In this seminar, I will present how Energy Balance Models (EBMs) can be used to explore climate change dynamics. The first part focuses on ongoing research that investigates a fast-slow system where solar radiation acts as the fast component, while a zero-dimensional EBM describes the slow component. This model exhibits mathematical parallels with the seminal stochastic EBM inspired by Hasselmann's proposal, and we explore these similarities in terms of deterministic limits, fluctuations, and large deviations. In the second part, if time allows, I will discuss a completed research project that extends the analysis of 1D EBMs by introducing local instability effects and additive white noise. The model captures the super-greenhouse effect, a tropical feedback mechanism, and incorporates fast weather fluctuations as white noise. By studying the long-term behaviour of the model's invariant measure, we investigate the link between increased greenhouse gas concentrations and extreme weather events. 16:20 - Discussione 16:3 - Tavola Rotonda moderata da Piermarco Cannarsa Speriamo di vedervi numerosi, sia in presenza che online! Saluti, Marta Leocata (a nome del gruppo Climath)

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Seminar by Joanna Michalak, Dr.
by monte＠uniroma2.it 09 Nov '24

09 Nov '24

Dear all, Dr. Joanna Michalak (Nicolaus Copernicus University in Torun, Poland) will give a seminar entitled "Integrated Approach to Sentiment Analysis: Optimizing Short Text Analysis Efficiency in the Context of Economics and Finance" on November 14th at 09:30 am in Room 5 at Macro Teaching Hub Engineering Area., Via del Politecnico, 1, University of Roma "Tor Vergata", Roma. The seminar can also be followed online by sending an email to roberto.monte(a)uniroma2.eu Abstract: Big social data (BSD) is widely used in the social sciences, particularly in economics and finance, where it is valued both for its explanatory insights and its predictive power. Predictive analyses leveraging BSD often focus on modeling the relationship between social media activity and stock market movements. The quality of these analyses relies on two main dimensions: (1) models that capture short-term dynamics and account for observed time-series properties, and (2) sentiment analysis methods that are specifically adapted to the unique vocabulary of finance and economics. This presentation addresses these two dimensions. In the first part, we explore a case study of Apple Inc., comparing the effectiveness of VAR, GARCH, and LSTM models for describing short-term interdependencies between social media sentiment and stock market behavior. The second part of the presentation focuses on the performance of various sentiment analysis methods selected to construct sentiment-based indices. This section aims to compare the efficiency and accuracy of different sentiment analysis methods when applied to short text data. The study emphasizes optimization of analysis efficiency by evaluating widely used datasets, such as Senti140. Several research questions guide this investigation: 1. Which sentiment analysis method is most effective in terms of accuracy and processing speed in financial data analysis? 2. Do advanced methods, such as deep learning models (e.g., BERT), outperform traditional lexicon-based techniques and classical machine learning algorithms? 3. What are the differences in sentiment analysis accuracy between general datasets like Senti140 and finance-specific datasets such as FinBERT? The issue of optimizing text data analysis methods remains an open aspect of this research. The ultimate objective of this study is to construct a dataset or lexicon specifically designed and recommended for financial data analysis.

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YMCN Spring School: Recent Advances in SPDEs
by Lucio Galeati 08 Nov '24

08 Nov '24

Cari tutti, Segnalo con piacere l'annuncio della seguente Spring School su SPDEs che si terrà a Münster a Marzo 2025; sotto tutti i dettagli. Saluti, Lucio -------------------------------------------------------------------------------------------------------- Dear Colleagues, We are currently organizing the YMCN Spring School: Recent Advances in SPDEs (24–28 March 2025, Münster, Germany). The Spring School aims to bring together young researchers from the fields of Probability Theory and Partial Differential Equations (PDEs), particularly those with interests in statistical physics, quantum field theory (QFT), singular SPDEs and dispersive (S)PDEs. It will feature four mini-courses and several talks by leading mathematicians in these areas, highlighting recent breakthroughs. The poster is linked to https://www.uni-muenster.de/imperia/md/content/MathematicsMuenster/ymcn_spr… , and the details and the application platform can be found on the website: https://www.uni-muenster.de/MathematicsMuenster/de/events/2025/ymcn_spring-… . Limited funding will be available for PHD students, and we are looking forward to seeing you in Münster! Thank you and best regards, Fabian, Sarah and Xiaohao

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Call for applications - PhD in Statistics & Computer Science @Bocconi
by Antonio Lijoi 06 Nov '24

06 Nov '24

*********************** PhD in Statistics and Computer Science - a.y. 2025-2026 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 * 27,000 euros (year 1) 23,000 euros per annum (years 2, 3 and 4) Further funding may be available through teaching and research assistantship. Visit www.unibocconi.eu/admissionphd for detailed information and for starting the online application process. ** Applications are due by February 3, 2024 ** 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 program is structured into two curricula: Statistics (4 scholarships) and Computer Science (3 scholarships). Students may apply to either one of the two curricula or to both. 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. A PhD Day (online) will take place on November 22, at 3pm CET. Interested students may visit https://www.unibocconi.it/en/events/phd-day-2024 and sign up for participation to the presentations of both the Bocconi PhD School (3pm) and the PhD program in Statistics and Computer Science (3:45pm). For further information, 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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Terzo Workshop “Mathematics for Artificial Intelligence and Machine Learning”
by Ernesto De Vito 06 Nov '24

06 Nov '24

Carissime e carissimi, vi segnalo la terza edizione del workshop "Mathematics for Artificial Intelligence and Machine Learning" organizzato nell’ambito delle attività del gruppo UMI “Matematica per l’Intelligenza Artificiale e il Machine Learning”. Il convegno si terrà a Bari dal 29 al 31 gennaio 2025 ed è incentrato sull'interazione tra matematica, intelligenza artificiale e apprendimento automatico. L'obiettivo dell'evento è incoraggiare la ricerca matematica in queste aree, promuovendo la diffusione dei risultati e facilitando l'interazione tra discipline diverse. La partecipazione è aperta a tutti i ricercatori interessati, anche non soci UMI. Caratteristica del workshop, fin dalla sua prima edizione, è quella di riservare le comunicazioni su contributo a giovani ricercatori. Per agevolare la partecipazione non sono previste tasse di iscrizione. Il workshop prevede tre conferenze plenarie tenute da: - Claudia Angelini, CNR - IAC, Napoli - Tommaso Di Noia, Politecnico di Bari - Yurii Nesterov, University of Louvain, Belgium Sono inoltre previste comunicazioni da parte di diversi keynote speaker, comunicazioni tematiche e interventi specialistici di aziende nel settore della AI. Durante i lavori del workshop sarà organizzata una tavola rotonda sul tema “Mathematics in AI and ML” che costituirà uno specifico momento di confronto tra gli invited speaker, alcuni rappresentanti del mondo accademico e i rappresentanti delle aziende che supportano l'evento. La scadenza per la sottomissione degli abstract per le comunicazioni tematiche è il 1° dicembre 2024, la scadenza per la registrazione è il 23 dicembre 2024. I dettagli logistici e le ulteriori informazioni sono disponibili alla pagina https://umi-math4aiml2025.uniba.it/ -------------- Ernesto De Vito DIMA - Dipartimento di Matematica MaLGa - Machine Learning Genoa center Via Dodecaneso 35 16146 Genova Italy

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Pescara Math Workshop 2024 (PMW24)
by Alessandra Cretarola 06 Nov '24

06 Nov '24

Buongiorno a tutti, Vi segnalo il seguente workshop, che si terrà sabato 9 novembre presso il Dipartimento di Economia dell'Università degli Studi “G. d'Annunzio” di Chieti-Pescara: Pescara Math Workshop 2024 (PMW24) Abstract In this edition of the Pescara Math Workshop, seven distinguished researchers will lecture on recent advances in mathematical logic, descriptive set theory, infinite dimensional analysis and geometry, and mathematical analysis. Speakers Nicola Arcozzi (Università di Bologna) Loredana Lanzani (Università di Bologna) Paul Blain Levy (University of Birmingham) Olof Svensson (Linköping University) Daniele Tiberio (SISSA, Trieste) Tomasz Weiss (University of Cardinal Stefan Wyszyński, Warsaw) Paweł Wójcicki (Warsaw University of Technology) Per ulteriori dettagli, si prega di visitare il sito web del workshop: https://www.sci.unich.it/pmw24/#home Cordiali saluti, Il Comitato organizzativo Gianluca Amato, Flavia Antonacci, Cristina Costantini, Alessandra Cretarola, Fausto Di Biase, Maurizio Parton __________________________ Alessandra Cretarola, PhD Professore Associato MATH-03/B Dipartimento di Economia Università "G. D'Annunzio'' di Chieti-Pescara, Viale Pindaro, 42, I-65127 Pescara

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Conferenza in memoria di Giuseppe Da Prato
by Lorenzo Zambotti 05 Nov '24

05 Nov '24

Care colleghe e cari colleghi dal 13 al 17 gennaio 2025 si terrà alla Scuola Normale Superiore di Pisa un convegno su « Deterministic and Stochastic Evolution Equations » in memoria di Giuseppe Da Prato. Alla pagina https://sites.google.com/sns.it/dsee2025/ troverete la lista degli/delle speakers e un link per registrarvi (entro il 15 dicembre) se siete interessati/e a partecipare. La conferenza comincerà il lunedì mattina e finirà il venerdì all’ora di pranzo. Cordiali saluti, il comitato organizzativo Piermarco Cannarsa, Sandra Cerrai, Franco Flandoli, Alessandra Lunardi, Lorenzo Zambotti -- Lorenzo Zambotti Postal Address: Sorbonne Universite', LPSM - Boite courrier 158 4, place Jussieu - 75252 Paris cedex 05, France Bureau n. 22, 2eme etage, tours 16/26, Jussieu E-mail: lorenzo.zambotti(a)upmc.fr https://www.lpsm.paris/users/zambotti/

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Seminar by Dr. Andrea Modena.
by Giorgio Rizzini 05 Nov '24

05 Nov '24

Dear all, as part of the Quantitative Finance Seminars, Dr. Andrea Modena (University of Mannheim) will give a seminar entitled "Coordinating Dividends and Capital Regulation" (joint work with Luca Regis and Salvatore Federico) on November 11th at 11 am in Aula Fermi at Scuola Normale Superiore in Pisa.The seminar can also be followed online by sending an email to giorgio.rizzini(a)sns.it. Best regards, Giorgio Rizzini *Abstract: * We develop a tractable dynamic corporate finance model to analyze the effects of state-contingent dividend restrictions and capital requirements on firm optimal policies and value. In the model, a risk-neutral shareholder manages a firm that generates stochastic income under time-varying macroeconomic conditions. The manager maximizes shareholder value by paying dividends, holding reserves, and issuing costly equity without agency conflicts. We analytically solve the firm's stochastic control problem and derive its reserve distribution in closed form. The model predicts that restricting dividends in "bad" macroeconomic states—characterized by lower and more volatile cash flows— reduces shareholder value but can effectively sustain the firm's credit capacity. The policy, however, curtails the firm's recapitalization incentives and credit capacity in "good" states. Coordinating dividends with counter-cyclical capital regulation can mitigate value losses but negatively impacts recapitalization incentives further.

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Fwd: Post-doc advert Cambridge
by Laura Maria Sangalli 05 Nov '24

05 Nov '24

Ricevo ed inoltro l’annuncio di una posizione di post-doc presso l’Università di Cambridge, sotto la supervisione del Prof Richard Samworth. Cordialmente, Laura Sangalli —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy (+39) 02 2399 4554 laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it> https://sangalli.faculty.polimi.it Inizio messaggio inoltrato: Da: Richard Samworth <rjs57(a)cam.ac.uk<mailto:rjs57@cam.ac.uk>> Oggetto: Post-doc advert Data: 3 novembre 2024, 11:11:40 CET A: Laura Maria Sangalli <laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it>> Hi Laura, Sorry for the formal message! I'm writing because I'm currently advertising for a post-doc position: https://www.jobs.cam.ac.uk/job/48646/ The closing date is 10 December. Please could you bring the advert to the attention of anyone who you think may be interested? Many thanks and best wishes Richard

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Seminario PRISMA oggi
by Francesco Caravenna 05 Nov '24

05 Nov '24

Seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/) Ricordiamo che oggi, martedì 5 novembre 2024, Enzo Orsingher (Sapienza Università di Roma) e Wolfgang Woess (Technische Universitaet Graz) ci parleranno di Il moto browniano iperbolico e le sue ramificazioni con il seguente orario: 16:00 Primo seminario 16:30 Pausa e discussione 16:45 Secondo seminario 17:15 Conclusione e discussione Trovate di seguito il riassunto. I seminari verranno trasmessi via Zoom al seguente link: https://uniroma1.zoom.us/j/88679569146 Meeting ID: 886 7956 9146 Vi aspettiamo numerosi! Valentina Cammarota e Francesco Caravenna %%%%%%%%%%%%%%%%%%%%%%%%%%%% RELATORI: Enzo Orsingher (Sapienza Università di Roma) e Wolfgang Woess (Technische Universitaet Graz) TITOLO: Il moto browniano iperbolico e le sue ramificazioni RIASSUNTO: Il moto browniano ramificato (branching Brownian motion - BBM) in ambito euclideo è stato studiato intensamente durante molti decenni da studiosi rinomati. Il BBM sul disco (ossia semipiano) iperbolico ha ricevuto molta meno attenzione. Un lavoro profondo di Lalley and Sellke (1997) ha messo in luce la fase ricorrente, risp. transitoria del BBM sul disco di Poincaré. In particolare, Lalley e Sellke hanno determinato la dimensione di Hausdorff dell'insieme limite sulla frontiera (il cerchio unitario) in funzione del tasso di ramificazione delle particelle. Nel primo dei due seminari viene introdotta la geometria del disco iperbolico con la metrica di Poincaré e del modello equivalente del semipiano superiore. Si presenta il Laplaciano iperbolico, cioè l'operatore di Laplace-Beltrami associato a questa superficie. Esso è l'operatore infinitesimale del moto browniano iperbolico. Si presentano alcune proprietà chiave di questo processo. Nel secondo seminario si introduce il moto browniano ramificato iperbolico. Vengono presentati alcuni nuovi risultati. In particolare, si forniscono i tassi della massima e minima distanza iperbolica della popolazione al tempo t dal punto di partenza e delle stime asintotiche più precise nella fase transitoria. L'altro tema principale riguarda il comportamento delle distribuzioni empiriche della popolazione ramificante e la loro convergenza a una distribuzione limite aleatoria sulla frontiera di supporto infinito. %%%%%%%%%%%%%%%%%%%%%%%%%%%% I seminari PRISMA hanno un formato di "colloquium" per creare un'occasione di scambio e discussione con tutta la comunità dei probabilisti e statistici italiani. Ogni giornata comprende due relatori che tengono due seminari di 30 minuti strettamente connessi, per presentare alla comunità una prospettiva sul proprio ambito di ricerca. Da quest'anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb %%%%%%%%%%%%%%%%%%%%%%%%%%%%

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Seminario Pablo Groisman, Lunedì 11 Novembre, Sapienza Università di Roma
by Silvestri, Vittoria 04 Nov '24

04 Nov '24

Segnalo il seguente seminario, che si terrà Lunedì prossimo in Sapienza. *Lunedì 11 Novembre, ore 14:00,* Aula B, Dipartimento di Matematica, Sapienza Università di Roma *Speaker:* Pablo Groisman (University of Buenos Aires) *Title: *The Kuramoto Model in Random Geometric Graphs *Abstract: *The Kuramoto model is a nonlinear system of ODEs that represents the behavior of coupled oscillators. The coupling is determined by a given graph and pushes the system towards synchronization. An important question is whether there is global synchronization (the system converges to a state in which all the phases coincide from almost every initial condition) or if the system supports other patterns. We will consider the Kuramoto model on random geometric graphs in the d dimensional torus and prove a scaling limit. The limiting object is given by the heat equation. On the one hand this shows that the nonlinearities of the system disappear under this scaling and on the other hand, provides evidence that stable equilibria of the Kuramoto model on these graphs are, as n → ∞, in correspondence with those of the heat equation, which are explicit and given by twisted states. In view of this, we conjecture the existence of twisted stable equilibria with high probability as n → ∞. We'll prove this conjecture in dimension d=1. ******************************** Vittoria Silvestri Assistant Professor Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome ********************************

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master / doctoral / post-doctoral scholarships in Paris
by CRISTINA TONINELLI 04 Nov '24

04 Nov '24

Ricevo e inoltro, cari saluti Cristina ----- Dear colleagues, The Fondation Sciences Mathématiques de Paris supports research and training in Mathematics and in fundamental Computer Science through its various programs: research chairs of excellence, postdoctoral positions, doctoral allowances, master scholarships. The positions are mainly located in Paris or in Paris area. For academic year 2025-2026, see schedule of deadlines below (at 11:59 p.m., Paris time). Feel free to circulate this message to your contacts. Paris Graduate School for Mathematical Sciences (master scholarships): Call (open to international students): from Monday November 4th 2024 to Thursday February 6th 2025 Offer description: https://sciencesmaths-paris.fr/en/pgsm-master FSMP Postdoctoral program: from Tuesday October 1st to Friday November 29th 2024 Offer description: https://www.sciencesmaths-paris.fr/en/postdoc-fsmp MathPhDInFrance (doctoral program): from Tuesday December 17th 2024 to Friday February 14th 2025 Offer description: https://mathphdinfrance.fr/ Research Chairs of excellence: from Tuesday October 1st to Friday November 29th 2024 Offer description: https://sciencesmaths-paris.fr/en/nos-programmes-en/les-chaires-fsmp ------- --------------------------------------------------------------------------------------------- Cristina Toninelli Postal Address: Ceremade Univ.Paris Dauphine Place du Marechal de Lattre de Tassigny 75775 Paris Cedex 16 - France Office: P207bis --------------------------------------------------------------------------------------------

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Research Associate in Bayesian Statistics, Newcastle University
by Fabrizio Leisen 04 Nov '24

04 Nov '24

Apologies for cross posting. Con preghiera di diffusione. Il candidato ideale deve avere della solide basi in inferenza Bayesiana da un punto di vista statistico piuttosto che Machine Learning. Cordiali Saluti, Fabrizio Leisen Professor of Statistics Head of the Statistics Group King’s College London Department of Mathematics Strand | WC2R 2LS | London ---------- Forwarded message --------- Da: Kevin Wilson <0000c562ec979ac8-dmarc-request(a)jiscmail.ac.uk> Date: mer 30 ott 2024 alle ore 14:41 Subject: JOB: Research Associate in Bayesian Statistics, Newcastle University To: <allstat(a)jiscmail.ac.uk> JOB: Research Associate in Bayesian Statistics School of Mathematics, Statistics and Physics, Newcastle University Full advert: Research Associate in Bayesian Statistics Job Details | Newcastle University< https://jobs.ncl.ac.uk/job/Newcastle-Research-Associate-in-Bayesian-Statist… > Applications are invited for a Research Associate position in Bayesian Statistics, for a period of 24 months. The project is at the forefront of Bayesian inference and aims to design a novel Bayesian methodology to implement Bayesian Additive Regression Trees (BART) models to deal with non-linear phenomena. In particular, the aim is to bridge the Loss-based methodology to the framework of BART, building on the previous works of Prof Cristiano Villa and Prof Fabrizio Leisen on model selection, linear regression models and Gaussian graphical models. The successful candidate will work on developing prior distributions to estimate the structure of the trees and the number of trees in a BART model, and building scalable and efficient computational tools to ease the implementation of the methodology. The candidate must have a solid background in computational methods for Bayesian inference to develop efficient algorithms for the new proposed modelling framework. Within the project, the candidate will also perform theoretical modelling and data analysis, as well as disseminate the outputs through publications and presentations at scientific meetings. The successful candidate will join the growing Statistics & Data Science group at Newcastle University and interact with the Statistics group at King's College London. The position is offered on a fixed term basis for two years from the start date. Generous funds are available for travel, training and other support. To apply, please complete the online application and attach a CV and covering letter. In your covering letter, please outline how you are either working towards, meet or exceed all the essential requirements for the role holder as outlined in the full advertisement, and highlight any expertise relevant to the described project. For all information enquiries about the position, please contact Prof Kevin Wilson (kevin.wilson(a)newcastle.ac.uk), Prof Cristiano Villa ( cristiano.villa(a)dukekunshan.edu.cn) or Prof Fabrizio Leisen ( fabrizio.leisen(a)kcl.ac.uk). You may leave the list at any time by sending the command SIGNOFF allstat to listserv(a)jiscmail.ac.uk, leaving the subject line blank.

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