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stat.ME2021★ 7 cited
Generalized Bayesian Likelihood-Free Inference
Lorenzo Pacchiardi, Sherman Khoo, Ritabrata Dutta
We propose a posterior for Bayesian Likelihood-Free Inference (LFI) based on generalized Bayesian inference. To define the posterior, we use Scoring Rules (SRs), which evaluate pro…
stat.ME2020
Score Matched Neural Exponential Families for Likelihood-Free Inference
Lorenzo Pacchiardi, Ritabrata Dutta
Bayesian Likelihood-Free Inference (LFI) approaches allow to obtain posterior distributions for stochastic models with intractable likelihood, by relying on model simulations. In A…