Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach

DOI10.1080/01621459.2021.1888740zbMath1515.62076arXiv1907.06116OpenAlexW3132486221MaRDI QIDQ6110704

Unnamed Author, Hongzhe Li, Sai Li

Publication date: 6 July 2023

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1907.06116

zbMATH Keywords

longitudinal datarandom effectsvariance componentsclustered datadebiased Lasso

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12)

Related Items

Inference and Estimation for Random Effects in High-Dimensional Linear Mixed Models, Generalized matrix decomposition regression: estimation and inference for two-way structured data, Double Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements

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