Last updated: 2017-01-28
Code version: 2c4f22e92e2c07488e9e3dc3111416ef178cbc83
Bayesian inference for a continuous parameter: summarizing the posterior
Relationship between Bayes Factor and p value
Gibbs Sampling for a simple normal mixture
Simple examples of Metropolis–Hastings algorithm
Discrete-Time Markov Chains: Introduction
Discrete-Time Markov Chains: Finding the Stationary Distribution via solution of the global balance equations
Discrete-Time Markov Chains: Finding the Stationary Distribution via eigendecomposition
Simulating Discrete-Time Markov Chains: An Introduction
Simulating Discrete-Time Markov Chains: Limiting Distributions
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