Code

Selecting priors

• List of conjugate priors
• Bayesian small area estimation
• Bayesian analysis of a covariance matrix

Bayesian theory

• Bayesian Central Limit Theorem
• Posterior consistency
• Simulation study

Bayesian computation

• Gibbs – toy example
• Gibbs – simple linear regression
• Gibbs – multiple linear regression
• Slice sampling
• Step-by-step illustration of Metropolis sampling
• Visualization of various MCMC algorithms
• Metropolis – logistic regression
• Metropolis – extreme value analysis with MCMC diagnostics
• Block Metropolis – logistic regression
• Metropolis-Hastings – geostatistics
• HMC- logistic regression
• JAGS download and user manual
• Simple linear regression in JAGS
• Poisson-gamma model in JAGS
• Example of poor convergence
• Example of good convergence

Hierarchical models

• Bayesian LASSO
• Probit regression
• Random effects logistic regression
• Disease modeling
• Bayesian inverse modeling
• Missing and censored data
• Causal inference toy examples

Model selection and evaluation

• Cross validation
• Bayesian multiple testing
• Bayesian R^2
• DIC/WAIC
• Posterior predictive checks
• Posterior predictive checks for censored data

Additional data and example are available here.