Statistics, Bayesian Statistics, Optimization And Ml, Machine Learning, Programming.
P(y|θ) as the likelihood function P(θ) the prior distribution The prior distribution describes our belief of θ before observing y and the posterior distribution describes our updated belief after observing y. Suppose the prior distribution can be expressed as where h(⋅, η) denotes a family of