18 citations · 18 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…
Prior knowledge elicitation: The past, present, and future
Petrus Mikkola, Osvaldo A. Martin, Suyog Chandramouli +9
Specification of the prior distribution for a Bayesian model is a central part of the Bayesian workflow for data analysis, but it is often difficult even for statistical experts. I…
Generalised Bayes Updates with -divergences through Probabilistic Classifiers
Owen Thomas, Henri Pesonen, Jukka Corander
A stream of algorithmic advances has steadily increased the popularity of the Bayesian approach as an inference paradigm, both from the theoretical and applied perspective. Even wi…