Enhancing Approximate Modular Bayesian Inference by Emulating the Conditional Posterior

Grant Hutchings, Kellin Rumsey, Derek Bingham +1

In modular Bayesian analyses, complex models are composed of distinct modules, each representing different aspects of the data or prior information. In this context, fully Bayesian…