2 papers
stat.ME2025
Surrogate-based ABC matches generalized Bayesian inference under specific discrepancy and kernel choices
Marko Järvenpää, Jukka Corander, Henri Pesonen
Generalized Bayesian inference (GBI) is an alternative inference framework motivated by robustness to modeling errors, where a specific loss function is used to link the model para…
stat.ME2024
Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation
Henri Pesonen, Jukka Corander
Approximate Bayesian computation (ABC) methods are standard tools for inferring parameters of complex models when the likelihood function is analytically intractable. A popular app…