In statistics there are often problems that cannot be solved using standard statistical software. In those cases the statistician has to develop special software for the computational work. The course is based on the statistical programming environment R, an implementation of the programming language S, which has grown to be a standard language of computational statistics.
The course gives an introduction to R and its use a a standard statistical software program. R-programming is introduced and the incremental (object oriented) mode of working used is emphazised. Special focus is given to simulation and optimisation using R. A number of topics within the area of computer intensive statistical methods are studied, e.g. numerical computation of expected values, maximum likelihood, bootstrapping and the EM algorithm.
Methods for linking R with programs written in FORTRAN and C is also discussed.
Univ: At least 90 credits including at least 60 credits in statistics and/or mathematical statistics, or equivalent. Proficiency in English equivalent to Swedish upper secondary course English B (English/6).
Online applications are now open. You will be transferred to Universityadmissions.se.
Application deadline is
16 April 2018.