Mathematics of decision making and statistics

Game theory, optimization, stochastic models, equilibrium, spatial scales...

The MADS (Mathématiques de la Décision et Statistique) group is one of the 9 groups of the research laboratory TSE-R (UMR 5314).

Its goal is to promote and develop research activities in mathematics applied to economics.

Topics covered include operations research, financial mathematics, statistics, econometrics, game theory, optimization, probability, calculus of variations, partial differential equations (PDEs), and mathematical models in economics, finance, and social sciences.

Activities of the group

  • seminars
  • lectures
  • workshops with PhD students
  • advanced courses

Have a look at an example of a research project (in french)

List of WP, articles of the group

Assessing the sensitivity of the Kaplan-Meier confidence interval according to the median follow-up

Serge Somda, Yacouba Ouedraogo, Eric Dabone, Eve Leconte, and Thomas Filleron

JP Journal of Biostatistics, vol. 18, n° 1, , pp. 67-85

Stochastic asymmetric repartition of lytic machinery in dividing CD8+ T cells generates heterogeneous killing behavior

Fanny Lafouresse, Romain Jugele, Sabina Müller, Marine Doineau, Valérie Duplan-Eche, Eric Espinosa, Marie-Pierre Puissegur, Sébastien Gadat, and Salvatore Valitutti

eLife,

Non-Asymptotic Study of a Recursive Superquantile Estimation Algorithm

Sébastien Gadat, and Manon Costa

Electronic Journal of Statistics, vol. 15, n° 2, , pp. 4718-4769

Extremile Regression

Abdelaati Daouia, Irene Gijbels, and Gilles Stupfler

TSE Working Paper, vol. 21-1176,

Inference robust to outliers with L1‐norm penalization

Jad Beyhum

ESAIM: Probability and Statistics, vol. 24, , pp. 688-702

Nonparametric Instrumental Regression with Right Censored Duration Outcomes

TSE Working Paper, vol. 20-1164,

Covariates impacts in spatial autoregressive models for compositional data

TSE Working Paper, vol. 20-1162, ,

On the cost of Bayesian posterior mean strategy for log-concave models

Sébastien Gadat, Fabien Panloup, and C. Pellegrini

TSE Working Paper, vol. 20-1155, ,

Spatial Blind Source Separation

François Bachoc, Mark G. Genton, Klaus Nordhausen, Anne M. Ruiz, and Joni Virta

Biometrika, vol. 107, n° 3, , pp. 627-646

Non asymptotic controls on a stochastic algorithm for superquantile approximation

Sébastien Gadat, and Manon Costa

TSE Working Paper, vol. 20-1149,

Stochastic approximation algorithms for superquantiles estimation

Bernard Bercu, Manon Costa, and Sébastien Gadat

TSE Working Paper, vol. 20-1142,

Collective Information Processing in Human Phase Separation

Bertrand Jayles, Ramon Escobedo, Roberto Pasqua, Christophe Zanon, Adrien Blanchet, Matthieu Roy, Gilles Tredan, Guy Théraulaz, and Clément Sire

Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 375, n° 1807,

Conferences and workshops

Past

Doctoral Workshop on Decision Mathematics and Statistics

  • Workshop

  • Date 4 June 2026

  • Place Auditorium 5

Details

Past

Doctoral Workshop on Decision Mathematics and Statistics

  • Workshop

  • Date 19 June 2025

  • Place Auditorium 5

Details

Past

Spring Workshop on Optimization and Machine Learning

  • Workshop

  • Date 1 April 2025

  • Place Auditorium 6

Details