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

A Stochastic Gauss-Newton Algorithm for Regularized Semi-discrete Optimal Transport

Bernard Bercu, Jérémie Bigot, Sébastien Gadat, and Emilia Siviero

Information and Inference: A Journal of the IMA,

Optimal weighted pooling for inference about the tail index and extreme quantiles

Abdelaati Daouia, Simone A. Padoan, and Gilles Stupfler

TSE Working Paper, vol. 22-1322, ,

Inference for extremal regression with dependent heavy-tailed data

Abdelaati Daouia, Gilles Stupfler, and Antoine Usseglio-Carleve

TSE Working Paper, vol. 22-1324, ,

Nonsmooth Implicit Differentiation for Machine Learning and Optimization

Jérôme Bolte, Tam Le, Edouard Pauwels, and Antonio Silveti-Falls

TSE Working Paper, vol. 22-1314,

Extreme value modelling of SARS-CoV-2 community transmission using discrete Generalised Pareto distributions

Abdelaati Daouia, Gilles Stupfler, and Antoine Usseglio-Carleve

TSE Working Paper, vol. 22-1323, ,

On the usage of joint diagonalization in multivariate statistics

Klaus Nordhausen, and Anne M. Ruiz

Journal of Multivariate Analysis, vol. 188, n° 104844,

Detecting outliers in compositional data using Invariant Coordinate Selection

TSE Working Paper, vol. 22-1320,

How do women on corporate boards shape corporate social performance? Evidence drawn from semiparametric regression

Rey Dang, Michel Simioni, Lubica Hikkerova, and Jean-Michel Sahut

Annals of Operations Research, n° 181,

Subgradient sampling for nonsmooth nonconvex minimization

TSE Working Paper, vol. 22-1310,

Adaptive estimation in the linear random coefficients model when regressors have limited variation

Bernoulli - Journal of the Bernoulli Society, vol. 28, n° 1, , pp. 504-524

The Iterates of the Frank-Wolfe Algorithm May Not Converge

Jérôme Bolte, Cyrille Combettes, and Edouard Pauwels

TSE Working Paper, vol. 22-1311,

Long information design

Frédéric Koessler, Marie Laclau, Jérôme Renault, and Tristan Tomala

Theoretical Economics, vol. 17, n° 2, , pp. 883–927

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