Probabilistic Stellar Mass and Radius Estimation with Bayesian Hierarchical Stacking
A Bayesian machine-learning framework that combines three probabilistic models through Bayesian hierarchical stacking (BHS): a Bayesian additive regression tree model, a two-process heteroscedastic sparse Gaussian process, and a hierarchical Bayesian neural network to obtain more robust predictive distributions and red...