18 citations · 27 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
Probabilistic elicitation of expert knowledge through assessment of computer simulations
Owen Thomas, Henri Pesonen, Jukka Corander
We present a new method for probabilistic elicitation of expert knowledge using binary responses of human experts assessing simulated data from a statistical model, where the param…
Misspecification-robust likelihood-free inference in high dimensions
Owen Thomas, Raquel Sá-Leão, Hermínia de Lencastre +3
Likelihood-free inference for simulator-based statistical models has developed rapidly from its infancy to a useful tool for practitioners. However, models with more than a handful…