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Séminaires étudiants

Séminaires et conférences à venir

Sara is Associate Professor at the Department of Mathematical Science at the Norwegian University of Science and Technology, Norway. Her research focuses on spatial and computational Bayesian statistics with a particular focus on approximate Bayesian inference methods. She is interested in applications in a wide range of scientific fields from ecology and air quality to multistate survival models.
En cavale sur un graphe dont on ne connaît même pas la structure exacte -- existe-t-il une façon d'étudier une dynamique stochastique si l'environnement-même où elle évolue est aléatoire? C'est la question sur laquelle nous nous pencherons dans cette présentation sur les marches aléatoires en milieux aléatoires.
Consider Z^2, and assign a random length of 1 or 2 to each edge based on independent fair coin tosses. The resulting random geometry, first passage percloation, is conjectured to have a scaling limit.??Most random plane geometric models (including hidden geometries) should have the same scaling limit.??I will explain the basics of the limiting geometry, the "directed landscape", the central object in the class of models named after?Kardar, Parisi and Zhang.?

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I will describe two new isoperimetric inequalities for k-dimensional submanifolds of R^n or a Banach space. As a consequence of one we obtain a new systolic inequality that was conjectured by Larry Guth. As a consequence of another, we obtain an asymptotic formula for volumes of minimal submanifolds that was conjectured by Mikhail Gromov. The talk is based on joint works with Boris Lishak, Alexander Nabutovsky and Regina Rotman; Fernando Marques and Andre Neves; Larry>
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Dylan Spicker is a postdoctoral fellow at McGill University, supported by the CRM StatLab and CANSSI, under the supervision of Dr. Erica Moodie. Prior to their postdoc, Dylan completed their PhD and MMath in Statistics at the University of Waterloo. Dylan's research focuses on the development of statistical methods for causal inference, both using observational data in a longitudinal context and data which arise from respondent-driven sampling, with a particular interest in developing methods which are broadly accessible and applicable in a wide variety of settings. Website:
Forrest W. Crawford is an Associate Professor of Biostatistics, Statistics & Data Science, Operations, and Ecology & Evolutionary Biology at Yale University. He is affiliated with the Center for Interdisciplinary Research on AIDS, the Institute for Network Science, the Computational Biology and Bioinformatics Program, and the Public Health Modeling Concentration. His research focuses on mathematical and statistical problems related to discrete structures and stochastic processes in epidemiology, public health, biomedicine, and social science. He received the NIH Director's New Innovator Award in 2016. Websites: -