## CV, publication list and general information

## Research links

Link
to the project page (1)

Link
to the project page (2)

Link to the School page

## Teaching

- ST2001 / Introduction to Biostatistics / [material (Blackboard)]

- ST3054 / Survival Analysis / [material] / this course is also part of ST6004

- ST4060 / Practical Implementation of Statistical Analysis Techniques / [material] / this course is also part of ST6006

- ST4064 / Time Series / [material] / this course is also part of ST6006

- ST4072 / Computational Statistical Methods for Actuarial Science / [material] (Sections 2 and 4)

## R links and other bits on computational statistics

### + Good to know

We knew R was hot, but it's still getting hotter

### + Books with online resources

The Schumway and Stoffer:
"Time Series Analysis and Its Applications: With R
Examples"

Arthur Charpentier's
"Computational Actuarial Science With R"

### + Official CRAN resources

The R Project:
http://cran.r-project.org/

Introduction to R (html):
http://cran.r-project.org/doc/manuals/R-intro.html

Introduction to R (pdf):
http://cran.r-project.org/doc/manuals/R-intro.pdf

Introduction to the R language:
http://cran.r-project.org/doc/manuals/R-lang.html

### + Other online tutorials

Freakonometrics points to 2 minute-long
video tutorials:
http://freakonometrics.hypotheses.org/9069

With statistical examples:
http://www.cyclismo.org/tutorial/R/

With more advanced statistical examples:
http://www.r-tutor.com/

### + Advanced R

R or Python???
An infographic

Advanced R with C/C++ integration:
"Advanced R" by Hadley Wickham

This paper:
A great introduction to Rcpp by its authors Douglas Bates and Dirk Eddelbuettel

See also
this post on fast linear modeling...

Useful if using Rcpp:
C++ Armadillo library

Also useful if using Rcpp:
Rcpp's gallery!

Advanced R memory usage:
"Advanced R" by Hadley Wickham (again!)

Also to speed things up:
Parallel Programming with GPUs and R

Also on memory usage:
A useful overview by Matthew C Keller

On cmpfun(), R's compiler, and R code profiling:
an illustrated guide by Noam Ross

### + Some great places

Freakonometrics:
http://freakonometrics.hypotheses.org

Addicted to R's great library on R graphics:
"Improving-the-graph-gallery"

A good talk about R:
The R Language The Good The Bad And The Ugly - John Cook

Lots and lots of interesting posts on 'Revolutions':
(Must still get my head around that one!)

For some more exotic stuff:
http://blog.r-enthusiasts.com/ (used to be at http://romainfrancois.blog.free.fr)

A UNIX-oriented approach:
http://zoonek2.free.fr/UNIX/48_R/01.html