2 papers
stat.ME2025
Variational inference for approximate objective priors using neural networks
Nils Baillie, Antoine Van Biesbroeck, Clément Gauchy
In Bayesian statistics, the choice of the prior can have an important influence on the posterior and the parameter estimation, especially when few data samples are available. To li…
stat.ME2024
Properly constrained reference priors decay rates for efficient and robust posterior inference
Antoine Van Biesbroeck
In Bayesian analysis, reference priors are widely recognized for their objective nature. Yet, they often lead to intractable and improper priors, which complicates their applicatio…