Mathematics of decision making and statistics
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
Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning
An Inertial Newton Algorithm for Deep Learning
Continuous-Time Markov Games with Asymmetric Information
SuperMix: Sparse Regularization for Mixture
Functional, randomized and smoothed multivariate quantile regions
Relations between socio-economic factors and nutritional diet in Vietnam from 2004 to 2014: New insights using compositional data analysis
Inference robust to outliers with L1‐norm penalization
Multivariate Expectiles, Expectile Depth and Multiple-Output Expectile Regression
A simultaneous spatial autoregressive model for compositional data
Adaptive estimation in the linear random coefficients model when regressors have limited variation
On a gateway between continuous and discrete Bessel and Laguerre processes
Estimates for the SVD of the Truncated Fourier Transform on L2(cosh(b.)) and Stable Analytic Continuation
Contact
Stéphane Villeneuve
Group leader
Anne M. Ruiz
Group secretary
Conferences and workshops
Past
Doctoral Workshop on Decision Mathematics and Statistics
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Workshop
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Date 4 June 2026
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Place Auditorium 5
Détails
Past
Doctoral Workshop on Decision Mathematics and Statistics
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Workshop
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Date 19 June 2025
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Place Auditorium 5
Détails
Past
Spring Workshop on Optimization and Machine Learning
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Workshop
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Date 1 April 2025
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Place Auditorium 6
Détails