B-DeepNoise

B-DeepNoise is a Bayesian deep noise neural network designed for density regression and uncertainty quantification. It extends standard Bayesian DNNs by incorporating random noise variables in hidden layers and provides a closed-form Gibbs sampling algorithm for efficient posterior computation.