Bayesian Statistics

Several notes on Bayesian Statistics that have been used to support the Bayesian Statistics for the Social Sciences course at Columbia University are available below. The code is available here.

• Bayes' Theorem and Maximum Likelihood Estimation
• Understanding Priors by Sampling from the Grid
• Markov Chain Monte Carlo Algorithms in Bayesian Statistics
• A Brief Introduction to RStanARM
• Basic Hierarchical Models in RStanARM
• A Brief Introduction to RStan
• Generated Quantities in RStan