Bayesian Regression Using MCMC

[redirect url='' sec='0'] Introduction Bayesian Regression has traditionally been very difficult to work with since analytical solutions are only possible for simple problems. Hence, the frequentist method called "least-squares regression" has been dominant for a long time. Bayesian approaches, however, has the advantage of working with probability distributions such that the estimated parameters of a … Continue reading Bayesian Regression Using MCMC