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.

Vlad Stefan Barbu Laboratory of Mathematics Raphaël Salem, University of Rouen – Normandy, France Hypothesis testing based on weighted divergences Abstract : In this presentation, we first focus on a class of hypothesis tests for assessing the goodness-of-fit of a distribution, as well as on a class of homogeneity tests between two samples, in an iid framework.

  Xavier Milhaud Associate Professor at the university Aix-Marseille (Institute of mathematics) Impact of heat waves on mortality: extension of parametric longevity models to account for global warming Abstract : Global warming significantly impacts human health, with intense heat waves causing spikes in mortality, particularly among the elderly.

Thomas Nagler LMU Munich The surprising effect of reshuffling the data during hyperparameter tuning Abstract : Tuning parameter selection is crucial for optimizing predictive power of statistical and machine learning models models.

The latest forecasting innovations, showing how data can be transformed into valuable predictive insights Note: This talk will be given in presence in room C-115.  Online access is possible but the quality cannot be guaranteed. Speaker: Thomas Christ, Chief data scientist at the company prognostica, Würzburg, Germany. Summary: In today’s fast-paced world, data-driven forecasting is cruc