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STAT-F408

Computational statistics

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

Programmes