Advenced linear models [ LSTAT2210 ]
4.0 crédits ECTS
15.0 h + 5.0 h
1q
| Teacher(s) |
Legrand Catherine ;
|
| Language |
French
|
Place
of the course |
Louvain-la-Neuve
|
| Main themes |
- Review of generalised linear models
- Dispersion models
- Linear mixed models.
- Generalised linear mixed models.
- Autoregressive models.
- Marginal models and generalised estimating equations.
|
| 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.
|
| Content |
- Review of generalised linear models
- Dispersion models
- Linear mixed models.
- Generalised linear mixed models.
- Autoregressive models.
- Marginal models and generalised estimating equations.
|
Cycle et année
d'étude |
> Master [120] in Statistics: General
> Master [120] in Statistics: Biostatistics
> Master [120] in Business engineering
> Certificat universitaire en statistique
|
Faculty or entity
in charge |
> LSBA
|
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