Machine Learning, Variational Inference, Bayesian Statistics, Artificial Intelligence.
distribution family as the prior. Bayesian linear regression is a model that typically assumes Gaussian priors over both the regression coefficients and the likelihood function. When we update the prior with the observed data (using Bayes’ theorem), the resulting posterior distribution for the