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stat.ME2022
On predictive inference for intractable models via approximate Bayesian computation
Marko Järvenpää, Jukka Corander
Approximate Bayesian computation (ABC) is commonly used for parameter estimation and model comparison for intractable simulator-based models whose likelihood function cannot be eva…
stat.ME2021★ 2 cited
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC
Marko Järvenpää, Jukka Corander
We present a framework for approximate Bayesian inference when only a limited number of noisy log-likelihood evaluations can be obtained due to computational constraints, which is…