# Teaching / APTS StatComp

This is the webpage supporting the 2019/20 iteration of the APTS course on Statistical Computing, which took place in Cambridge, December 2019.

#### Some links and further reading

Note that there are

*many* links and suggested sources of further reading in the main course notes. Below I just include a few especially relevant sources, or useful sources omitted from the notes.

- My lecture notes on multivariate data analysis and statistics for big data covers similar ground to Chapter 2 of this course (Matrix computation), but in a bit more detail, and with a bit more discussion of matrix decompositions and their applications to statistical computing.
- The Matrix Cookbook is an invaluable source of matrix identities, etc.
- Regarding Chapter 5 (Random number generation), relatively little was said about the generation of non-uniform random variates. In this context, Luc Devroye's book on Non-Uniform Random Variate Generation is a classic reference.
- For more on functional programming for statistical computing, see my blog and my Scala course.

#### Hashtag

For those on social media, my suggested hashtag for all of the APTS courses this year is

`#apts1920`