Statistics, Bayesian Statistics, Optimization And Ml, Machine Learning, Programming.
and assume y is generated from a linear model of unknown parameters. A Bayesian approach to inference seeks to quantify our belief in the unknown parameters θ given the observation. Applying Bayes’ theorem, we can rewrite the probability as where we refer to P(θ|y) as the posterior distribution