An Undergraduate Bayesian Statistics Course

• Textbook: Probability and Bayesian Modeling (1st Edition), Albert and Hu, Chapman & Hall/CRC Texts in Statistical Science.

  • Book website

  • CRC Page for the Book

• Computing resources

  • The ProbBayes R package

    • Installing from CRAN link

    install.packages("ProbBayes")
    library(ProbBayes)
    

    • Installing from Github

    devtools::install_github("bayesball/ProbBayes")
    require(ProbBayes)
    

  • JAGS (Just Another Gibbs Sampler)

    • Downloading and installing: sourceforge link

    • The runjags R package

    install.packages("runjags")
    require(runjags)
    

• Pre-requisites

  • Coursework: college-level Multivariate Calculus, Linear Algebra, and Probability

  • Computing in R: equivalent to DataCamp's

    • Introduction to R: DataCamp link
    • Intermediate R: DataCamp link
    • Introduction to the Tidyverse: DataCamp link

• Teaching and learning material (Fall 2019 iteration of MATH 347 Bayesian Statistics at Vassar College, NY)

  • Lectures folder: lecture files (.Rmd and .pdf).

  • Homework folder: homework files (.tex and .pdf).

  • Labs folder: lab files (.Rmd and .pdf).

  • Case Studies folder: case study files (.tex and .pdf).

  • Lecture recordings available at this complete YouTube playlist.