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STAT-F408

Computational statistics

academic year
2025-2026

Course teacher(s)

Maarten JANSEN (Coordinator)

ECTS credits

5

Language(s) of instruction

english

Course content

1. multiple regression, model selection, elements of sparsity
2. bootstrap
3. monte carlo, MCMC
In years where this course is not being taught, the cours STAT-F-428, Bayesian Statistics is taught.

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

References, bibliography, and recommended reading

See material on Université Virtuelle

Course notes

  • Université virtuelle

Contribution to the teaching profile

In years where this course is not being taught, the cours STAT-F-428, Bayesian Statistics is taught.

Other information

Campus

Plaine

Evaluation

Method(s) of evaluation

  • written examination

written examination

  • Open book examination
  • Open question with short answer
  • Question with negative count

Written exam

Mark calculation method (including weighting of intermediary marks)

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

Language(s) of evaluation

  • english

Programmes