Statistics, Bayesian Statistics, Optimization And Ml, Machine Learning, Programming.
Regression Priors For the parameter σ, we use the noninformative prior which is equivalent to using a uniform prior over the parameter log σ. For w, we want an informative prior that shrinks the weights, reflecting a prior belief that weights are non-predictive. Let η denote a hyperparameter that