Kavli Affiliate: Kaisey Mandel | Summary:Recent advances in neural density estimation have enabled powerful simulation-based inference (SBI) methods that can flexibly approximate Bayesian inference for intractable stochastic models. Although these methods have demonstrated reliable posterior estimation when the simulator accurately represents the underlying data generative process (DGP), recent work has shown that they perform poorly […]
Continue.. Misspecification-robust amortised simulation-based inference using variational methods