Goodness of Fit for Bayesian Generative Models with Applications in Population Genetics
To appear in Annals of Applied Statistics
Jean‑Michel Marin
Professor of Statistics at the University of Montpellier
Dean of the Faculty of Sciences of Montpellier
Member of the Alexander Grothendieck Montpellier Institute
Member of the Académie des Sciences et Lettres de Montpellier ; Fondée en 1706 — Montpellier
Research
Bayesian statistics, Model choice, Approximate Bayesian Computation, Monte Carlo Methods, Population genetics
Four recent publications
Tracing the genetic footprint and invasion pathway of Drosophila suzukii in Chile
To appear in Biological Invasions
A new iterative framework for simulation-based population genetic inference
Peer Community Journal, Volume 6 (2026), article no. e43
Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation
Preprint arXiv, 2025
View the complete bibliography
Teaching
Statistics, Probability, Bayesian Statistics, Monte Carlo methods, Computational Statistics, Machine Learning, Python and R programming
Further informations
jean-michel.marin@umontpellier.fr
Download the french CV
Download the english CV
Update, September 2026