16:00 - "Un modèle hiérarchique flexible pour les réclamations d'assurance combinant gradient boosting et copules"  Marie-Pier Côté (l’université Laval) Un modèle hiérarchique flexible pour les réclamations d'assurance combinant gradient boosting et copules Résumé : Nous proposons un modèle hiérarchique pour les réclamations en assurance de dommage qui affine les méthodes

14:30 - "Open Science et gestion des données de la recherche : objectifs, principes et ressources" Joelle Desterbecq (UCLouvain) Open Science et gestion des données de la recherche : objectifs, principes et ressourcesRésumé: Vous souhaitez en savoir plus sur l’Open Science ? Vous démarrez un nouveau projet et vous devez établir un plan de gestion des données ?

14h - Accueil / introduction, Léopold Simar, Professeur émérite à et fondateur de l’Institut de statistique (STAT, devenu ISBA-LSBA-SMCS), UCLouvain et Jean-Pierre Florens, Professeur émérite, TSE, Toulouse School of Economics14h05 - 14h45 – Anna Simoni, ENSAE ParisTitle : Panel data models with randomly generated groups: Bayesian inference and density forecasts14h45 - 15h25 – Philippe Lambert, UC

  14:30 - "Causal interpretability for human-centered data science" - Joshua Loftus   Joshua Loftus (London School of Economics (LSE)) Causal interpretability for human-centered data scienceAbstract: Tools for interpretable machine learning or explainable artificial intelligence can be used to audit algorithms for fairness or other desired properties.

14:30 - "Projection inference for high-dimensional covariance matrices" -  Fabian Mies (TU Delft) Projection inference for high-dimensional covariance matrices Abstract: Analyzing large samples of high-dimensional data under dependence is a challenging statistical problem as long time series may have change points, most importantly in the mean and the marginal covariances,

27/02/2025    14:00 > "Human genetic research in the age of mass surveillance"  Prof.

16:00 - "Statistical Programming using Prompts in ChatGPT, Claude, Mistral, and DeepSeek" - Christian Ritter, UCLouvain Statistical Programming using Prompts in ChatGPT, Claude, Mistral, and DeepSeek Abstract: This is an open workshop on the topic on experiences with prompt writing to create scripts for statistical analyses in R and Python.The open session will be animated by C

14:30 - "Health Data, AI, and Privacy: Striking the Right Balance for Research and Innovation" -  Anastassia Negrouk (MyData-Trust) Health Data, AI, and Privacy: Striking the Right Balance for Research and Innovation. Abstract: The global rise of digital health technologies and artificial intelligence (AI) has unlocked immense potential for advancing medical research, pers

Program  :  9h00 : Lara WAUTIER Dynamic graphical models for high-dimensional financial time seriesThe framework of Graphical models has been extensively studied. They are useful to describe conditional independences by identifying disjoint sets of nodes. Large high-dimensional graphs with many nodes often satisfy a sparsity assumption.

Rudradev Sengupta Senior Trial Design Lead, One2Treat / Louvain-la-Neuve   Generalized Pairwise Comparisons: Enhancing Patient-Centricity in Clinical Trials   Abstract : Clinical trials are carefully designed research studies conducted to evaluate the safety, effectiveness, and potential side effects of new treatments, drugs, or medical devices.