2 papers
stat.ME2020
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…
stat.ML2018
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…