Extension of the EM-algorithm using PLS to fit linear mixed effects models for high dimensional repeated data | Zendy

Caroline Bazzoli | Zendy; Sophie LambertLacroix | Zendy; Marie-José Martinez | Zendy

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Extension of the EM-algorithm using PLS to fit linear mixed effects models for high dimensional repeated data

Author(s) -

Caroline Bazzoli,

Sophie LambertLacroix,

Marie-José Martinez

Publication year - 2018

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

Subject(s) - mixed model , principal component analysis , generalized linear mixed model , computer science , context (archaeology) , dimensionality reduction , covariate , random effects model , dimension (graph theory) , linear model , principal component regression , expectation–maximization algorithm , linear regression , algorithm , extension (predicate logic) , data mining , mathematics , machine learning , artificial intelligence , statistics , maximum likelihood , programming language , medicine , paleontology , meta analysis , pure mathematics , biology

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