Advenced linear models [ LSTAT2210 ]
4.0 crédits ECTS
15.0 h + 5.0 h
1q
| Teacher(s) |
Legrand Catherine ;
Desmet Lieven (compensates Legrand Catherine) ;
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| Language |
French
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Place of the course |
Louvain-la-Neuve
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| Prerequisites |
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE)
for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
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| Main themes |
- Review of generalised linear models - Dispersion models - Linear mixed models. - Generalised linear mixed models. - Autoregressive models. - Marginal models and generalised estimating equations.
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| Aims |
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.
The contribution of this Teaching Unit to the development and
command of the skills and learning outcomes of the programme(s) can be
accessed at the end of this sheet, in the section entitled
“Programmes/courses offering this Teaching Unit”.
|
| Content |
- Review of generalised linear models
- Dispersion models
- Linear mixed models.
- Generalised linear mixed models.
- Autoregressive models.
- Marginal models and generalised estimating equations.
|
Faculty or entity in charge |
> LSBA
|
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