prior

Motivation Model probabilities The Beta distribution is a probability distribution on probabilities. The Beta distribution can be understood as representing a distribution of probabilities, that is, it represents all the

Bayesian Inference Posterior Distribution The intuition behind the posterior distribution: “It is a weighted version of likelihood! … just weighting the likelihood using my prior belief on theta …” Useful

Introduction The Beta distribution is a useful probability distribution when you want model uncertainty over a parameter bounded between 0 and 1. In this post, we’ll explore how the two parameters of the Beta distribution determine its shape.