[R] Suggestions for statistical computing course
tobias.verbeke at gmail.com
Fri Apr 20 22:20:34 CEST 2007
Giovanni Petris wrote:
> Dear R-helpers,
> I am planning a course on Statistical Computing and Computational
> Statistics for the Fall semester, aimed at first year Masters students
> in Statistics. Among the topics that I would like to cover are linear
> algebra related to least squares calculations, optimization and
> root-finding, numerical integration, Monte Carlo methods (possibly
> including MCMC), bootstrap, smoothing and nonparametric density
> estimation. Needless to say, the software I will be using is R.
> 1. Does anybody have a suggestion about a book to follow that covers
> (most of) the topics above at a reasonable revel for my audience?
> Are there any on-line publicly-available manuals, lecture notes,
> instructional documents that may be useful?
The course notes for `Advanced Statistical Computing' by Robert Gray
covers much of
the topics you mentioned and is interspersed with R (1.4.0) code.
Tobias Verbeke - Consultant
Business & Decision Benelux
Rue de la révolution 8
1000 Brussels - BELGIUM
+32 499 36 33 15
tobias.verbeke at businessdecision.com
More information about the R-help