**Part A Statistical Programming**

**Hilary Term 2017**

### Course Material

**Part C and MSc Graphical Models**

**Michaelmas Term 2016**

### Course Material

**MSc Statistical Methods **

Log-Linear Models and Contingency Tables

Log-Linear Models and Contingency Tables

**Hilary Term 2016**

### Course Material

**MSc R Programming**

**Michaelmas Term 2014**

### Course Material

**CDT Module 1: Statistical Computing**

**Michaelmas Term 2014**

We will be using the statistical software package R, which you can get here. Please install it on your own computer and practice using it as early as possible.

**Notes**

R Questions Review Sheet (Solutions)

### Talk Slides

Numerical Issues and Computing

Adaptive MCMC Slides (Krys Latuszynski)

Lauritzen and Spiegelhalter (1998) (Robin Evans)

Intractable Likelihoods MCMC (Matti Vihola)

Lasso (Francois Caron)

Scaling in MCMC (Gareth Roberts)

Statistical Challenges in fMRI (Thomas Nichols)

#### Notes on R

#### Vignettes

Here's an example vignette file and a BibTeX file. It generates a vignette which looks something like this.

Adding Vignettes to Your Package

**Resources**

Hadley Wickham's Advanced R book is highly recommended, and his (not yet complete) book on R packages is also good.

The R Inferno takes a detailed look at some of R's quirks.

**Causal Inference with Counterfactuals**

**Graduate Lectures, Hilary Term 2014**

Some brief lecture notes.

A blog post which covers some of the philosophy.