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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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