Uncertain about sampler methods?
Bayesian models are great. They can naturally propagate uncertainty to single predictions, incorporating domain knowledge is easy and you can build awesome hierarchical models with partial pooling. The goal of these Bayesian models is to calculate the posterior. Usually this Read more
May 13, 2020
