Statistics, Bayesian Statistics, Optimization And Ml, Machine Learning, Programming.
probability distributions parameterized by what we call a hyperparameter η. Traditional approaches to Bayesian linear regression have used what are called conjugate priors. A family of priors h(⋅, η) is conjugate if the posterior also belongs to the family Conjugate priors are mathematically