Carissimi
di seguito trovate l'avviso del seminario:
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AVVISO DI SEMINARIO
Giovedì 30 ottobre, alle ore 12:30, in aula G del Dipartimento di Matematica e Fisica dell'Università della Campania Luigi Vamvitelli, in Viale Lincoln 5, Caserta,
Kei Kobayashi
Professor of Mathematics, Department of Mathematics, Fordham University, New York, USA, terrà un seminario dal titolo
Parameter estimation for one-sided heavy-tailed distributions
Abstract: Stable subordinators have been widely used in the context of subdiffusions, where particles get trapped or immobile in a number of time periods, called constant periods. The lengths of the constant periods follow a one-sided stable distribution whose first moment does not exist. In this talk, we construct an estimator for the stability index, applying the method of moments to the number of observed constant periods in a fixed time interval. The resulting estimator is asymptotically unbiased and consistent, and it is well-suited for situations where multiple observations of the same subdiffusion process are available. We present supporting numerical examples and an application to market price data for a low-volume stock. This is joint work with Phillip Kerger.
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Questo è il link da remoto:
Seminario di Kei Kobayashi | Partecipazione alla riunione | Microsoft Teams<https://teams.microsoft.com/meet/3305423649328?p=buYuVJgBIf5KihIoRS>
Cari saluti
Enrica Pirozzi
Buongiorno,
vi segnalo il seminario di Giulio Tiozzo organizzato dal gruppo di Algebra
e Geometria per questo Mercoledi' (sotto i dettagli)
Saluti
Alessandra
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
*Mercoledì 29 ottobre 2025*
Ore 14:00, Sala di Consiglio, Dipartimento di Matematica, Sapienza
Università di Roma
Seminario di Algebra e Geometria
Giulio Tiozzo (Sapienza Università di Roma)
*Harmonic functions on groups, random walks, and the identification of the
Poisson boundary*
The Poisson boundary is a measure-theoretic object attached to a group
equipped with a probability measure, and is closely related to the notion
of harmonic function on the group. In many cases, the group is also endowed
with a topological boundary arising from its geometric structure, and a
recurring research theme is to identify the Poisson boundary with the
topological boundary. For instance, for lattices in hyperbolic space, it is
natural to ask if the (visual, or Gromov-)boundary of the hyperbolic space
is a model for the Poisson boundary. In this talk, we solve the
identification problem for the Poisson boundary of a random walk with
finite entropy on a hyperbolic group and on a discrete subgroup of a
semisimple Lie group. The main technical novelty is that we do not require
any moment assumption on the measure. Joint with K. Chawla, B. Forghani,
and J. Frisch.
--
*************************************************
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
*************************************************
Dear all,
a kind reminder that the next One World Approximate Bayesian Inference (OWABI) Seminar<https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldsem…> is scheduled on Thursday the 30th October at 11 am UK time.
The 1st OWABI talk of the Season will be given by François-Xavier Briol<https://fxbriol.github.io/> (University College London). who will talk about "Multilevel neural simulation-based inference<https://arxiv.org/abs/2506.06087>" , with an abstract reported below.
Abstract: Neural simulation-based inference (SBI) is a popular set of methods for Bayesian inference when models are only available in the form of a simulator. These methods are widely used in the sciences and engineering, where writing down a likelihood can be significantly more challenging than constructing a simulator. However, the performance of neural SBI can suffer when simulators are computationally expensive, thereby limiting the number of simulations that can be performed. In this paper, we propose a novel approach to neural SBI which leverages multilevel Monte Carlo techniques for settings where several simulators of varying cost and fidelity are available. We demonstrate through both theoretical analysis and extensive experiments that our method can significantly enhance the accuracy of SBI methods given a fixed computational budget.
Keywords: Multifidelity, neural SBI, multi-level Monte Carlo
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: 358 173 458 006 0
Passcode: Vp2975vC
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
Dear Colleagues,
We would like to invite you to the following SPASS
https://sites.google.com/unipi.it/spass seminar, jointly organized by
UniPi, SNS, UniFi and UniSi:
*Controlling the zero-temperature Ising model using Markov decision theory*
by Maike de Jongh (Twente University)
The seminar will take place in person on *TUE, 28.10.2025 at 16:00* in Room
207, Department of Mathematics and Computer Science "Ulisse Dini",
University of Florence and streamed online here:
https://meet.google.com/hmw-uhcm-knw
On behalf of the organizers,
Gianmarco Bet
--------------------------------------------
*Abstract: *
*The behavior of the Ising model under external control mechanisms is of
interest in a wide variety of applications, including biological systems,
social dynamics, and information processing. In this talk, we investigate
control strategies for a zero-temperature two-dimensional Ising model on a
finite square lattice evolving under Metropolis dynamics. Specifically, we
consider a situation in which an external controller aims to drive the
system from a configuration with a small droplet of +-spins towards the
all-plus configuration by flipping spins at specific sites at predetermined
moments in time. In order to analyze this control problem, we formulate it
as a Markov decision process (MDP), a well-established framework for
sequential decision-making problems under uncertainty. To find an optimal
policy in this MDP, we construct a simplified model by means of a reduction
of the configuration space to the local minima of the Hamiltonian.
Leveraging the convenient form of this simplified model, we uncover the
structure of the optimal policy by solving the Bellman equations in a
recursive manner. Finally, we present simulation results illustrating the
performance of this optimal policy in the original control problem at low
temperatures. *
Il giorno 27 ottobre 2025, alle ore 15:00, in sala riunioni primo
livello, del Dipartimento di Matematica e Applicazioni R. Caccioppoli,
il Prof. Lauri Viitasaari, Professor in Statistics, Mathematics, and
Data Science at Aalto University School of Business, terrà il seguente
seminario:
''_Some statistical aspects related to SPDEs_''
Abstract: In this talk we discuss several aspects statistical aspects
related to SPDEs. In particular, we provide quantitative central limit
theorem results for spatial averages of solutions under rather general
conditions on both the differential operator and on the noise term. On
top of that, we consider non-parametric estimation of the unknown
diffusion coefficient. We define an estimator that is shown to be
consistent. We also provide the rate of convergence in the L^p norm.
Sarà possibile seguire il seminario anche on line al seguente link:
Seminario Prof. Lauri Viitasaari | Partecipazione alla riunione |
Microsoft Teams [1]
Cari saluti,
Luigia Caputo
--
Luigia Caputo, PhD
Ricercatore Universitario di Probabilità e Statistica Matematica,
Dipartimento di Matematica e Applicazioni,
Università di Napoli FEDERICO II
Via Cintia, 80126, NAPOLI
https://www.docenti.unina.it/luigia.caputo
Links:
------
[1] https://teams.microsoft.com/meet/3688446992029?p=s7fupu4PVSS4EWdCpn
Si segnala il seguente seminario a tutti gli interessati.
Martedì 28 Ottobre 2025, ore 11:00.
Aula Seminari III Piano, Dipartimento di Matematica, Politecnico di Milano.
Speaker: Anna Donadini, Università di Milano-Bicocca.
Title: Directed polymer in space-correlated disorder.
Abstract:
Directed polymers in random environments describe a perturbation of the simple random walk by a random disorder (environment). The partition function of such models has been extensively studied in recent years, also due to its connection with the solution of the Stochastic Heat Equation. While classical results focus on space-time independent disorder, we investigate the case of a Gaussian environment with (critically) space-correlated disorder. We show that, similarly to the independent case, a phase transition occurs: when the disorder strength is below a critical threshold, the log-partition function satisfies a central limit theorem; above this threshold, it converges to zero in distribution. Remarkably, the appropriate scaling constant for the disorder, as well as the correct limiting variance, emerge from a non-trivial induction scheme that reflects the critical nature of the correlation.
(Joint work with Clément Cosco and Francesca Cottini)
Link Zoom:
https://polimi-it.zoom.us/j/92962991099
Link Seminario Polimi:
https://www.mate.polimi.it/Eventi/?id=2642&sezione_di_ricerca=&stringa=&sub…
-----
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
Dear Colleagues
We are glad to announce the half-day workshop on "*Advances in
Macroeconometrics*". The event will present ongoing research in econometric
methods for time series analysis and their applications to macro-finance.
The workshop will feature:
Keynote Lectures:
*Andrew Harvey*, University of Cambridge - A New Approach to Regime
Switching
*Fabio Canova*, BI Norwegian Business School - Low Frequency Movements and
SVAR Analysis
Presentations:
*Dario Palumbo*, Ca' Foscari University of Venice - A Simple Parsimonious
Framework for Extracting and Modelling the Term Structure of Interest Rates
*Qing Wang*, Ca' Foscari University of Venice - Bayesian Tensor Regression
with Stochastic Volatility
*Antonio Peruzzi*, Ca' Foscari University of Venice - Multiple Equilibria
and the Phillips Curve: Do Agents Always Under-react?
*Wednesday, October 29 at 9.20-13.15 in Meeting Room 1,by the Department of
Economics, San Giobbe Campus, Ca' Foscari University of Venice*
It will also be possible to attend via Zoom:
https://unive.zoom.us/j/81351424918?pwd=gWVcQbrSRtqrAAcYUR7SoEVx31hcaH.1
More information is available here:
https://www.unive.it/data/agenda/1/104525
All interested participants are warmly invited to attend.
Roberto Casarin (and on behalf of the Scientific Committee and the
Organizing Committee)
--
Roberto Casarin, PhD
Professor of Econometrics
Ca' Foscari University of Venice
San Giobbe 873/b - 30121 Venezia, Italy
http://sites.google.com/view/robertocasarin/https://www.unive.it/vera <https://www.unive.it/isba2024>
https://www.unive.it/isba2024
Dear colleagues,
we would like to draw you attention to the upcoming workshop "From
discrete systems to SPDEs", taking place March 30th - April 1st, 2026 at
TU Wien in the beautiful city center of Vienna. The aim of the workshop
is to bring together experts as well as young researchers in the field
of Stochastic Partial Differential Equations and their discrete
approximations, including interacting particle systems.
Confirmed speakers include:
* Lubomir Baňas (Bielefeld)
* Charles-Edouard Bréhier (Pau)
* Yvain Bruned (Nancy)
* Giuseppe Cannizzaro (Warwick)
* Clément Erignoux (Lyon)
* Patricia Gonçalves (Lisbon)
* Erika Hausenblas (Leoben)
* Yueh-Sheng Hsu (Vienna)
* Ruojun Huang (Pisa)
* Vitalii Konarovskyi (Hamburg)
* Helena Kremp (Berlin)
* Cyril Labbé (Paris)
* Quentin Moulard (Vienna)
* Nicolas Perkowski (Berlin)
* Rhys Steele (Leipzig)
Registration for the workshop is open through the form on our conference
webpage https://sites.google.com/view/viennaspdes2026/home
Registration is possible until February 28, 2026 but, to help us with
organization (coffee breaks, etc), we encourage you to register as soon
as possible.
Limited travel funding for PhD students and PostDocs is available (apply
via email to viennaspdes2026(a)tuwien.ac.at until November 30, 2025 with a
CV and a cover letter).
Please feel free to circulate this announcement among colleagues and
students. We look forward to seeing some of you in Vienna soon.
The organizers
Máté Gerencsér and Fabio Toninelli
--
Prof. Fabio Toninelli
Technical University of Vienna
Institut für Stochastik und Wirtschaftsmathematik
Wiedner Hauptstrasse 8-10, 1040 Wien, Austria
https://sites.google.com/view/fabio-toninelli/home
Office: 6th floor, green area. tel: +43-1-58801-10570
Seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/)
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. Dallo scorso anno le
registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI:
https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb
Il prossimo appuntamento è per *lunedì 3 novembre* 2025. I relatori
saranno *Lucas
Benigni *(Università di Montreal) e *Giorgio Cipolloni* (Università di Roma
2 Tor Vergata) che parleranno di:
*The mystery of universality in Random Matrix Theory*.
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://unitn.zoom.us/j/88089787189
ID riunione: 880 8978 7189
Codice d’accesso: 144017
Vi aspettiamo numerosi!
Alberto Chiarini e Sonia Mazzucchi
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
RELATORI: Lucas Benigni (Università di Montreal) e Giorgio
Cipolloni (Università di Roma 2 Tor Vergata)
TITOLO: The mystery of universality in Random Matrix Theory.
RIASSUNTO: Over the past fifteen years, our understanding of universality
in random matrix theory has undergone a remarkable transformation. For many
models of large random matrices, it is now known that both eigenvalue
statistics and eigenvector structures exhibit universal behavior that
depends only on the symmetry class and not on the fine details of the
matrix entries. This universality lies at the heart of deep conjectures in
mathematical physics—connecting topics as diverse as quantum chaos, number
theory, and high-dimensional statistics—and has become one of the major
success stories of modern probability theory.
In this two-part colloquium, we will survey these advances with a focus on
Wigner matrices, Hermitian or symmetric random matrices with i.i.d. entries
up to the symmetry constraint. The first part will discuss universality of
eigenvalues, from local spectral laws to modern proofs of universality of
local statistics. The second part will turn to eigenvectors, highlighting
recent progress on delocalization, quantum ergodicity, and eigenvector
statistics.
Dear colleagues,
unfortunately, the QFinLab seminar at Politecnico di Milano (see the original announcement below), scheduled for tomorrow, 23 October, is cancelled.
Best regards,
Alessandro Calvia
***
Dear colleagues,
you are all invited to participate in the following seminar organized by QFinLab - Department of Mathematics, Politecnico di Milano.
Thursday, 23 October 2025, 14.30-15.30
Seminar room, third floor, building 14, Via Bonardi 9, Milano<https://www.google.com/maps/search/Via+Bonardi+9,+Milano?entry=gmail&source…> (Leonardo Campus)
Riccardo Brignone (Università di Pavia)
Title: Pricing path-dependent options under stochastic volatility models with full error control.
Abstract: In this paper, we propose a unified methodology for pricing general path-dependent derivatives (e.g., Asian and Barrier options) that is based on the Monte Carlo-Conditional Fourier-cosine method and works for a broad class of stochastic volatility models. The main benefit of the proposed approach over existing literature consists in a simple and effective control of the error. A practitioner simply needs to provide the pricing algorithm with two parameters: i) a probability, q; ii) an error tolerance epsilon. Then, our proposed algorithm provides a price approximation that differs by no more than epsilon from the true unknown option price with probability at least equal to q. We provide an explicit link between the variance of the Monte Carlo simulation estimator of the option price, the error tolerance, and the number of simulations. In this way, the pricing methodology becomes extremely efficient when combined with effective variance reduction techniques that drastically reduce the number of simulations (and, consequently, the computing time) required to obtain an arbitrarily accurate price estimate.
Joint work with Gero Junike.
Attendance is also possible online (Microsoft Teams), clicking here<https://teams.microsoft.com/l/meetup-join/19%3ameeting_NmZjNzAwNmYtM2I4OC00…>
All news can be found on the QFinLab webpage<https://www.qfinlab.polimi.it/seminars-and-meetings/>.
The organizers: Michele Azzone and Alessandro Calvia.
***