2 papers
stat.CO2025
Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation
Paul Bastide, Arnaud Estoup, Jean-Michel Marin +1
The marginal likelihood, or evidence, plays a central role in Bayesian model selection, yet remains notoriously challenging to compute in likelihood-free settings. While Simulation…
stat.ME2025
Goodness of Fit for Bayesian Generative Models with Applications in Population Genetics
Guillaume Le Mailloux, Paul Bastide, Jean-Michel Marin +1
In population genetics and other application fields, models with intractable likelihood are common. Approximate Bayesian Computation (ABC) or more generally Simulation-Based Infere…