Search Results for author:
Found 2 papers, 1 papers with code
Robust Bayesian Inference for Berkson and Classical Measurement Error Models
This approach gives rise to a general framework that is suitable for both Classical and Berkson error models via the appropriate specification of the prior centering measure of a Dirichlet Process (DP).
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
Simulator-based models are models for which the likelihood is intractable but simulation of synthetic data is possible.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
