01/14/2026
research article
A generalized Bayesian framework for maximizing information gain and model selection
This work presents a novel Bayesian Optimal Experiment Design Selection principle for generalised parameter distributions. The generalization is achieved by extending the β-information gain to the discrete distributions. The β-information gain is based on what is known as the Bhattacharyya coefficient.
Image credit: Robert Clark
Connect with Us