Variable selection in elliptical linear mixed model

© 2019 Informa UK Limited, trading as Taylor & Francis Group.

Détails bibliographiques
Publié dans:Journal of applied statistics. - 1991. - 47(2020), 11 vom: 17., Seite 2025-2043
Auteur principal: Gokalp Yavuz, Fulya (Auteur)
Autres auteurs: Arslan, Olcay
Format: Article en ligne
Langue:English
Publié: 2020
Accès à la collection:Journal of applied statistics
Sujets:Journal Article Elliptical distributions mixed models robust shrinkage functions variable selection
Description
Résumé:© 2019 Informa UK Limited, trading as Taylor & Francis Group.
Variable selection in elliptical Linear Mixed Models (LMMs) with a shrinkage penalty function (SPF) is the main scope of this study. SPFs are applied for parameter estimation and variable selection simultaneously. The smoothly clipped absolute deviation penalty (SCAD) is one of the SPFs and it is adapted into the elliptical LMM in this study. The proposed idea is highly applicable to a variety of models which are set up with different distributions such as normal, student-t, Pearson VII, power exponential and so on. Simulation studies and real data example with one of the elliptical distributions show that if the variable selection is also a concern, it is worthwhile to carry on the variable selection and the parameter estimation simultaneously in the elliptical LMM
Description:Date Revised 16.07.2022
published: Electronic-eCollection
Citation Status PubMed-not-MEDLINE
ISSN:0266-4763
DOI:10.1080/02664763.2019.1702928