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.

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