Statistics, Bayesian Statistics, Optimization And Ml, Machine Learning, Programming.
algorithm where Priors are selected to shrink w, reflecting the prior hypothesis that w is not predictive, and be approximately noninformative for other parameters. We fully integrate over hyperparameters so that no arbitrary choice of η is required. Let’s first consider what it means for a prior