An iterative sparse algorithm for the penalized maximum likelihood estimator in mixed effects model

DOI10.1016/j.jkss.2018.05.005zbMath1402.65023OpenAlexW2805193698WikidataQ129729538 ScholiaQ129729538MaRDI QIDQ1622124

Johan Lim, Won Son, Kyeong Eun Lee, Jong Soo Lee

Publication date: 12 November 2018

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2018.05.005

zbMATH Keywords

mixed effects modelpenalized maximum likelihood estimatorarrow-head matrixiterative sparse approximation

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Generalized linear models (logistic models) (62J12) Iterative numerical methods for linear systems (65F10) Estimation in survival analysis and censored data (62N02)

Cites Work

• Modeling survival data: extending the Cox model
• A new sparse variable selection via random-effect model
• Hierarchical likelihood approach for frailty models
• Perturbation Bounds for Matrix Eigenvalues
• Estimation of Multivariate Frailty Models Using Penalized Partial Likelihood
• Classification of gene microarrays by penalized logistic regression
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