9 citations · 18 across the 5 of their papers we have counts for
5 papers
Component-based regularisation of multivariate generalised linear mixed models
Jocelyn Chauvet, Catherine Trottier, Xavier Bry
We address the component-based regularisation of a multivariate Generalised Linear Mixed Model (GLMM) in the framework of grouped data. A set Y of random responses is modelled with…
Extension to mixed models of the Supervised Component-based Generalised Linear Regression
Jocelyn Chauvet, Catherine Trottier, Xavier Bry +1
We address the component-based regularisation of a multivariate Generalized Linear Mixed Model (GLMM). A set of random responses Y is modelled by a GLMM, using a set X of explanato…
Regularising Generalised Linear Mixed Models with an autoregressive random effect
Jocelyn Chauvet, Catherine Trottier, Xavier Bry
We address regularised versions of the Expectation-Maximisation (EM) algorithm for Generalised Linear Mixed Models (GLMM) in the context of panel data (measured on several individu…
Partitioned conditional generalized linear models for categorical data
Jean Peyhardi, Catherine Trottier, Yann Guédon
In categorical data analysis, several regression models have been proposed for hierarchically-structured response variables, e.g. the nested logit model. But they have been formall…
A new specification of generalized linear models for categorical data
Jean Peyhardi, Catherine Trottier, Yann Guédon
Regression models for categorical data are specified in heterogeneous ways. We propose to unify the specification of such models. This allows us to define the family of reference m…