academic year
2020-2021
The health crisis linked to the spread of Covid-19 constitutes grounds of force majeure constraining the University to adapt the assessment methods for some of the course units; Information on the new terms of these assessments will be provided to students through the usual information channels by December 4, 2020.
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