July 2-3, 2020, via Zoom
This is a continuation of seminars with a similar name that took place in the Centro Stefano Franscini(*), Ascona, Switzerland, from 1993 to 2011.
The main objective of the conference is to further contacts between international experts on stochastic analysis and random fields, as well as the applications of these mathematical topics. The first day is mainly devoted to stochastic partial differential equations, stochastic numerics and stochastic analysis in data science. The second day is devoted to mean-field theory and to the use of stochastic analysis and mathematical models that are relevant in the Covid-19 crisis.
- Stochastic partial differential equations
- Mean-field theory, data science and stochastic numerics
- Round table discussion: Mathematical challenges raised by the Covid-19 crisis
René Carmona (Princeton), Sandra Cerrai (Maryland), Carsten Chong (EPFL and Columbia), Ludovic Goudenège (CentraleSupélec), Aurélien Deya (Nancy), Franco Flandoli (SNS Pisa), Jean-Pierre Fouque (U.C. Santa Barbara), Josselin Garnier (Polytechnique), Davar Khoshnevisan (Utah), Terry Lyons (Oxford), Etienne Pardoux (Aix-Marseille)
Slides of the lectures: Terry Lyons, Carsten Chong, Ludovic Goudenège, Davar Khoshnevisan, Sandra Cerrai, Aurélien Deya, Franco Flandoli, Jean-Pierre Fouque, René Carmona, Josselin Garnier, Etienne Pardoux
Registration is free but mandatory, and is open up to Wednesday, June 24, 2020.
In order to register, please fill out the registration form.
The Round Table discussion only can be followed (live or later) without registering via this Youtube link.
Robert C. Dalang (EPF-Lausanne)
Francesco Russo (ENSTA Paris)
Marta Sanz-Solé (Universitat de Barcelona)
Ecole Polytechnique Fédérale de Lausanne
Universitat de Barcelona
For further information, please contact:
E-mail: [email protected]
Phone: +41 21 693 11 80
Mme Rosana Blanchard
Stochastic Analysis 2020
Institut de mathématiques
Ecole Polytechnique Fédérale
Photo credit: Alessio Pizzicannella, Copyright Ascona-Locarno Tourism