query: How is MCMC relevant for Bayesian inference?
positive_passages.docid: 1639
positive_passages.text: Why is it necessary to sample from the posterior distribution if we already KNOW the posterior distribution?
negative_passages.docid: 139734
negative_passages.text: Choosing between uninformative beta priors
negative_passages.docid: 13071
negative_passages.text: Neg Binomial and the Jeffreys' Prior
negative_passages.docid: 117375
negative_passages.text: Examples of Bayesian and frequentist approach giving different answers
negative_passages.docid: 17478
negative_passages.text: burn in for Metropolis Hastings MCMC
negative_passages.docid: 23346
negative_passages.text: How would you explain Markov Chain Monte Carlo (MCMC) to a layperson?
negative_passages.docid: 153154
negative_passages.text: Monte-Carlo simulation with sampling from uniform distribution
negative_passages.docid: 94025
negative_passages.text: Markov chain convergence, total variation and KL divergence
negative_passages.docid: 137224
negative_passages.text: Sequential Update of Bayesian
negative_passages.docid: 42725
negative_passages.text: Why don't Bayesian methods require multiple testing corrections?
negative_passages.docid: 36187
negative_passages.text: Introduction to frequentist statistics for Bayesians
negative_passages.docid: 51950
negative_passages.text: In Bayesian terminology, what does evidence refer to?
negative_passages.docid: 82592
negative_passages.text: In a 2 class problem how do I compute the normalization constant for finding the posterior distributions?
negative_passages.docid: 58394
negative_passages.text: Why is posterior density proportional to prior density times likelihood function?
negative_passages.docid: 37027
negative_passages.text: the relationship between maximizing the likelihood and minimizing the cross-entropy
negative_passages.docid: 134629
negative_passages.text: Learn Bayesian inference applied to astronomy / astrophysics?
negative_passages.docid: 5214
negative_passages.text: Model evidence and Bayesian model selection