Bayesian Statistics, Data, Data Science, Statistics, Machine Learning.
complex probability distributions (like our posteriors). Now, let’s use MCMC to sample from the posterior distribution. We’ll start with the classic Metropolis-Hastings algorithm. chain_mh = sample(pet_cuteness_model(cuteness_scores), MH(), 10_000) Time for some HMC magic! Julia Turing allows us to