Advenced linear models

lstat2210  2020-2021  Louvain-la-Neuve

Advenced linear models
Due to the COVID-19 crisis, the information below is subject to change, in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
4 credits
15.0 h + 5.0 h
Desmet Lieven (compensates Legrand Catherine); Legrand Catherine;
Main themes
- Review of generalised linear models - Dispersion models - Linear mixed models. - Generalised linear mixed models. - Autoregressive models. - Marginal models and generalised estimating equations.

At the end of this learning unit, the student is able to :

1 This is a second cycle course giving a critical overview of recent scientific developments in the field. It will deal with present extensions of linear and generalised linear models. The considered extensions will be of two types : - a explicit modelling of dispersion as a function of available covariates. - a amendment of (generalised) linear models to deal with clustered or longitudinal data.
Transparents du cours disponible sur Moodle.
Références données au cours.
Teaching materials
  • transparents sur moodle
Faculty or entity

Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Master [120] in Data Science : Statistic

Certificat d'université : Statistique et sciences des données (15/30 crédits)

Master [120] in Statistic: General

Master [120] in Statistic: Biostatistics

Master [120] in Biomedical Engineering