academic year
2021-2022
Course teacher(s)
Maarten JANSEN (Coordinator)ECTS credits
5
Language(s) of instruction
english
Course content
1. multiple regression, model selection, elements of sparsity2. bootstrap3.
monte carlo, MCMC4. elements of Bayesian statistical methods
Objectives (and/or specific learning outcomes)
The course concentrates on statistical methods with an important
computational component
Teaching methods and learning activities
Face to face plus practical exercises on computers
References, bibliography, and recommended reading
See material on line http://homepages.ulb.ac.be/~majansen/teaching/STAT-F-408/index.html
Other information
Contacts
For more details, http://homepages.ulb.ac.be/~majansen/teaching/STAT-F-408/index.html
Evaluation
Method(s) of evaluation
- Other
3 written projects
Mark calculation method (including weighting of intermediary marks)
The projects are evaluated w.r.t. originality, correctness, being concise