A short step by step exercise to write a Bayesian Model using a MCMC algorithm in R & C++. In Bayesian analysis, a prior is used in conjunction with Bayes' theorem to update the probability of an ...

In probability and statistics, likelihood is a","measure of how probable it is that a set of observations or data could","have been generated by a given set of ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...