Bayesian inference for multiple independent parameters
Bayesian inference for normal mean (known variance)
Simple examples of Metropolis–Hastings algorithm
Gibbs Sampling for a univariate normal mixture
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
This site was created with R Markdown