# STAT 544 slides

Below are source (Rnw) and handouts for all course lectures. Instructions for compiling the Rnw files can be found below.

## Chapter slide source files

Chapter | Topic | Source | Handouts |
---|---|---|---|

1 | Bayesian statistics | Ch01.Rnw | Ch01.pdf |

2 | Binomial model/priors | Ch02a.Rnw | Ch02a.pdf |

Normal model/computation | Ch02b.Rnw | Ch02b.pdf | |

3 | Independent binomials/normal | Ch03a.Rnw | Ch03a.pdf |

Multinomial/multivariate normal | Ch03b.Rnw | Ch03b.pdf | |

4 | Data asympotitics | Ch04.Rnw | Ch04.pdf |

5 | Binomial hierarchical model | Ch05a.Rnw | Ch05a.pdf |

de Finetti/normal hierarchical model | Ch05b.Rnw | Ch05b.pdf | |

6 | Model checking | Ch06.Rnw | Ch06.pdf |

7 | Hypothesis testing | Ch07a.Rnw | Ch07a.pdf |

Comparison to LRTs | Ch07b.Rnw | Ch07b.pdf | |

9 | Decision theory | Ch09.Rnw | Ch09.pdf |

R | Amazon reviews analysis | AmazonReview.Rnw | AmazonReview.pdf |

Midterm review | MidtermReview.Rnw | MidtermReview.pdf | |

Bayesian model averaging | BMA.Rnw | BMA.pdf | |

10 | Bayesian computation | Ch10a.Rnw | Ch10a.pdf |

ARS and Importance sampling | Ch10b.Rnw | Ch10a.pdf | |

11 | Metropolis-Hastings | Ch11a.Rnw | Ch11a.pdf |

Gibbs sampling | Ch11b.Rnw | Ch11b.pdf | |

Markov chains | Ch11c.Rnw | Ch11c.pdf | |

Markov chain Monte Carlo | Ch11d.Rnw | Ch11d.pdf | |

14 | Bayesian regression | Ch14a.Rnw | Ch14a.pdf |

Bayesian regression (cont.) | Ch14b.Rnw | Ch14a.pdf | |

15 | Hierarchical linear models | Ch15a.Rnw | Ch15a.pdf |

Hierarchical linear models (cont.) | Ch15b.Rnw | Ch15b.pdf | |

16 | Hierarchical linear models | Ch16a.Rnw | Ch16a.pdf |

Below are to be organized:

## Rnw compilation instructions

The following files contain code to create slides for the associated chapters of Bayesian Data Analysis, 3rd edition. You will need to have the R package `knitr`

installed, i.e.

```
install.packages('knitr')
```

To obtain the pdf, you will need to have LaTeX installed and in the path (etc). Then download the Rnw file (as an example, I will use `Ch01.Rnw`

) and run

```
knitr::knit2pdf('Ch01.Rnw')
```

Alternatively, you can install RStudio and click on the `Compile PDF`

button.

To extract the R code, run

```
knitr::knit('Ch01.Rnw', tangle=TRUE)
```