Bayesian inference for multiple independent parameters
Relationship between Bayes Factor and p value
Conditional coverage of a standard normal CI ### Decision Theory
Making a decision under uncertainty: the two class problem
Gibbs Sampling for a univariate 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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