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

Intercity connectivity and urban innovation

Xiaofan Liang, César Hidalgo, Pierre-Alexandre Balland, Siqi Zheng, and Jianghao Wang

Computers, Environment and Urban Systems, vol. 109, n° 102092, April 2024

An expectile computation cookbook

Abdelaati Daouia, Gilles Stupfler, and Antoine Usseglio-Carleve

Statistics and Computing, vol. 34, n° 103, March 2024

A comparative study of residents and tourists' valuation for a heterogeneous environmental good: The case of coastal erosion

Lan Anh Nguyen, Manh-Hung Nguyen, Arnaud Reynaud, and Michel Simioni

Marine Policy, vol. 161, n° 106038, March 2024

Privately Learning Smooth Distributions on the Hypercube by Projections

Clément Lalanne, and Sébastien Gadat

TSE Working Paper, vol. 24-1505, February 2024

Discretisation of Langevin diffusion in the weak log-concave case

Marelys Crespo

TSE Working Paper, vol. 24-1506, February 2024

Bilateral Trade: A Regret Minimization Perspective

Nicolo Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, and Stefano Leonardi

Mathematics of Operations Research, vol. 49, n° 1, February 2024

Dynamic Contracting with Many Agents

Stéphane Villeneuve, Bruno Biais, Hans Gersbach, Jean-Charles Rochet, and Ernst-Ludwig von Thadden

TSE Working Paper, vol. 24-1511, February 2024

The Stick-Breaking and Ordering Representation of Compositional Data: Copulas and Regression models

Olivier Faugeras

TSE Working Paper, vol. 24-1500, January 2024, revised May 2025

The link between multiplicative competitive interaction models and compositional data regression with a total

Lukas Dargel, and Christine Thomas-Agnan

Journal of Applied Statistics, vol. 51, n° 14, January 2024, pp. 2929–2960

The Christoffel function: Applications, connections and extensions,

Jean-Bernard Lasserre

Numerical Algebra, Control and Optimization, January 2024

Understanding political divisiveness using online participation data from the 2022 French and Brazilian presidential elections

Carlos Navarrete, Mariana Macedo, Rachael Colley, Jingling Zhang, Nicole Ferrada, Maria Eduarda Mello, Rodrigo Lira, Carmelo Bastos-Filho, Umberto Grandi, Jérôme Lang, and César Hidalgo

Nature Human Behaviour, vol. 8, n° 1, January 2024, pp. 137-148