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Computational statistics

academic year
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


Language(s) of instruction


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


For more details, http://homepages.ulb.ac.be/~majansen/teaching/STAT-F-408/index.html


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