- Full description of a statistical method
that uses the computer in an intensive way,
why it is useful in a situation a classical
method isn't etc....
This must be explanatory and well documented, with
references to the literature in scientific
format.
Length: 6-10 pages.

- Program implementing the method
written in either
**Splus**or**Matlab**. The program must be tested on a simulated data set with known structure to show that it works. - Full data analysis example, this must show a data set that you found on the web or in a book where the method you chose is relevant. The data must be documented and the output must be explained and interpreted.

Choice of method:

The method must not be already completely available in
the software you choose to use.
Here are some examples, if your choice is different,
send me email so I can tell you in advance if it's OK.

- Equivalent to CART building with Matlab.
- Non parametric tests for anova and manova situations.
- Approximate counting- I will not do it in class, but I can meet with you for an hour and explain it, this is useful for doing testing in computer intensive situations.
- Moving Block Bootstrap for dependent Data.
- Construction of clustering trees with Matlab. (Parsimony based or distance based).
- Minimal Spanning Tree with Matlab. Friedman Rafsky test for comparing two multivariate populations.
- Spatial analyses with Matlab, inspire yourself from Brian Ripley's spatial functions available in Splus.
- Comparisons of neural nets (available in Matlab as its own toolbox) and non parametric regression as practised by statisticians.
- Monitoring of convergence for Metropolis type algorithms.