6 citations · 10 across the 6 of their papers we have counts for
6 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…
Classifying variable-structures: a general framework
Xavier Bry, Lionel Cucala
In this work, we unify recent variable-clustering techniques within a common geometric framework which allows to extend clustering to variable-structures, i.e. variable-subsets wit…
EM estimation of a Structural Equation Model
Xavier Bry, Christian Lavergne, Myriam Tami
In this work, we propose a new estimation method of a Structural Equation Model. Our method is based on the EM likelihood-maximization algorithm. We show that this method provides…
A multiple covariance approach to PLS regression with several predictor groups: Structural Equation Exploratory Regression
Xavier Bry, Thomas Verron, Pierre Cazes
A variable group Y is assumed to depend upon R thematic variable groups X 1, >..., X R . We assume that components in Y depend linearly upon components in the Xr's. In this work, w…