1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
Approximate Bayesian Computation via Population Monte Carlo and Classification
Charlie Rogers-Smith, Henri Pesonen, Samuel Kaski
Approximate Bayesian computation (ABC) methods can be used to sample from posterior distributions when the likelihood function is unavailable or intractable, as is often the case i…