Name: 2024 Statistics Days in Bordeaux
Start: 27/05/2024
End: 31/05/2024
Location: Campus Victoire

Changed on 04/06/2024

This year, the 55th "Journées de statistique" will take place from 27 to 31 May 2024 in Bordeaux, on the Campus de la Victoire. Organised every year since 1970 by the Société Française de Statistique (SFdS), these days are the most important scientific event in the world of French-speaking statistics. Each year between 400 and 500 researchers, teachers, practitioners and industrialists from a wide range of backgrounds attend.

Les journées de statistiques se déroulent du 27 au 31 mai 2024 sur le Campus Victoire de l'université de Bordeaux. Organisées par la Société Française de Statistique depuis 1970, Inria compte parmi les sponsors académiques participant à cet événement dédié aux chercheurs, enseignants, praticiens et industriels du secteur. Cet événement a pour objectif de promouvoir l’utilisation des statistiques et leur compréhension, avec des conférences et ateliers à propos de l'apprentissage statistique, de la statistique computationnelle ou encore la statistique associée à l'environnement, le sport ou les enjeux publics.

L'inscription aux conférences est payante pour les non-adhérents et l'inscription aux ateliers est gratuite mais le nombre de places limité.

JDS 2024 programme

Monday, May 27th

horaire

08h30

Welcoming participants

9h40

Opening of the JDS 2024

10h00

MJLD session:

"Apprentissage statistique de collections de réseaux avec applications en écologie et en sociologie" - Saint-Clair Chabert-Liddell, Mathématiques et Informatique Appliquées
"Modèles espace-état pour la prévision de séries temporelles : application aux marchés électriques" - Joseph de Vilmarest, Viking Conseil

11h30

Group sessions and contributed sessions:

Young statisticians group session
Environment and statistics
Optimal transport
Statistics applied to medicine
Bayesian statistics
Neural networks

12h45

Lunch

14h00

Semi-plenary guest sessions:

"Topological Data Analysis: extracting insights from the “shape” of data " - Kathryn Hess Bellwald, Brain and Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne
"On the simulation of extreme events with neural networks" - Stéphane GIRARD, Modèles statistiques bayésiens et des valeurs extrêmes pour données structurées et de grande dimension

15h10

Contributed sessions:

AEF risks
Learning from unbalanced data
Counting data
Statistics and sport
Dimension reduction
Importance sampling

16h40

Group sessions and contributed sessions:

MALIA
Analysis of topological and geometric data
Mixed models
High dimensionality and parsimony
Processes
Actuarial Awards

18h00

Welcoming cocktail

Tuesday, May 28th

horaire

09h00

Semi-plenary invited sessions:

"Non-parametric estimation of the intensity of a spatial point process using random forests" - Frédéric Lavancier, Centre de Recherche en Économie et Statistique
"Gene networks: inference, evaluation, use and beyond" - Nathalie Vialaneix, Toulouse Applied Mathematics and Computer Science Unit

10h20

Group sessions and contributed sessions:

Statistics and sport
Environment and statistics
Spatial statistics
Classification
Omic data
Markov chains and processes

11h45

Contributed sessions :

Copies
Longitudinal data
Directional data
Piecewise deterministic Markov processes
Statistics applied to management
E-learning

14h00

"Lucien Le Cam" conference by Cun-Hui Zhang (Rutgers University, Department of Statistics and Biostatistics)

15h20

Group sessions and contributed sessions :

SFB
ENBIS and Reliability and Uncertainty Group
Functional data
Missing data
Model selection
Unsupervised classification and mixture model

17h00

SFdS General Meeting

Wednesday, May 29th

horaire

09h00

Semi-plenary guest sessions:

"Some statistical reflections on machine learning inspired by physics" - Claire Boyer, Sorbonne University, Institut Universitaire de France
"Statistical needs for Exposome Analytics: an Illustrative overview" - Marc Chadeau-Hyam, School of Public Health, Dept of Epidemiology and Biostatistics, Imperial College, London

10h20

Group sessions and contributed sessions :

Extremes and risks
Conformal prediction
Statistics and sport
Survival data, censored data
Functional data
Graphs and networks

11h45

Semi-plenary invited sessions :

"Curvature measures for random excursion sets: theoretical and computational developments" - Elena Di Bernardino, Jean Alexandre Dieudonné Laboratory
"Statistics for qualitative trajectories: applications in sensory data analysis" - Hervé Cardot, University of Burgundy

14h00

Social activities

19h00

Gala dinner

Thursday, May 30th

horaire

09h00

Invited semi-plenary sessions :

"Generative models for estimating a posteriori laws: applications to inverse problems and SBI (Simulation-Based Inference) methods" - Sylvain Le Corff, Probability, Statistics and Modelling Laboratory
"Survival analysis of breast cancer screening programmes" - Maja Pohar-Perme, Institute of Biostatistics and Medical Informatics, Medical faculty, University of Ljubljana

10h20

Group sessions and contributed sessions :

Teaching statistics
"Tips and tricks for mathematical statistics
Statistics applied to medicine
Robust statistics and anomaly detection
Regression
Generative AI

11h45

Contributed sessions :

Statistics and sport
Mathematical statistics
Time series
Composition and distribution data
SFdS Ensai Prize
Surveys and polls
Neural networks

14h00

Semi-plenary invited sessions :

"DPPs everywhere: repulsive point processes for Monte Carlo integration and machine learning" - Rémi Bardenet, CNRS, Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL)
"Statistical learning in climate sciences: the example of internal gravity waves" - Aurélie Fischer, Probability, Statistics and Modelling Laboratory