An overview of a non-asymptotic theory for model selection is given here and some selected applications to variable selection, ...
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One of the main objectives of this book is to provide comprehensive explanations of the concepts and derivations of the AIC ...
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This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
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This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and ...
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Random effects and latent variable models are broadly used in analyses of multivariate data. These models can accommodate ...
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This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used ...
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