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STAT-F408

Computational statistics

academic year
2024-2025

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 Université Virtuelle

Other information

Campus

Plaine

Evaluation

Method(s) of evaluation

  • Personal work

Personal work

one take home exam

Mark calculation method (including weighting of intermediary marks)

The project is evaluated w.r.t. originality, correctness, being concise

Language(s) of evaluation

  • english

Programmes