• Prerequisites
  • Topics from probability: pdf (also posted on resources page)
  • Common probability distributions: pdf (also posted on resources page; you don’t need to memorize this material)
  • Topics from calculus (not discussed today, please review after class): pdf (also posted on resources page)
• R
  • dplyr cheatsheet (pdf)
  • Summary of some R commands, focusing on the dplyr package (pdf)
  • ggplot2 cheatsheet (pdf)
  • Overview of ggplot2
• Readings
  • Discussion of MCMC for Bayesian Inference, Chapter 6 of An Introduction to Statistical Thought by Michael Lavine