Christian Carmona

Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components

Bayesian statistical inference loses predictive optimality when generative models are misspecified.Working within an existing coherent loss-based generalisation of Bayesian inference, we show existing Modular/Cut-model inference is coherent, and write down a new family of Semi-Modular Inference (SMI…