Probabilistic Models, Sampling Methods, Machine Learning, Editors Pick, Hands On Tutorials.
using simple or Markov Chain Monte Carlo methods. It builds up to the Metropolis Hastings algorithm as an example of the implementation of such ideas in the reader’s practice, and briefly lays out considerations and heuristics for hyperparameters involved. Sampling as a concept Here we refer to