GLMMLasso: An Algorithm for High-Dimensional Generalized Linear Mixed Models Using ℓ $_{\textrm{1}}$ -Penalization. Schelldorfer, J., Meier, L., & Bühlmann, P. Journal of Computational and Graphical Statistics, 23(2):460–477, April, 2014. ![GLMMLasso: An Algorithm for High-Dimensional Generalized Linear Mixed Models Using ℓ $_{\textrm{1}}$ -Penalization [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @article{schelldorfer_glmmlasso_2014,
title = {{GLMMLasso}: {An} {Algorithm} for {High}-{Dimensional} {Generalized} {Linear} {Mixed} {Models} {Using} ℓ $_{\textrm{1}}$ -{Penalization}},
volume = {23},
issn = {1061-8600, 1537-2715},
shorttitle = {{GLMMLasso}},
url = {http://www.tandfonline.com/doi/abs/10.1080/10618600.2013.773239},
doi = {10.1080/10618600.2013.773239},
language = {en},
number = {2},
urldate = {2021-06-10},
journal = {Journal of Computational and Graphical Statistics},
author = {Schelldorfer, Jürg and Meier, Lukas and Bühlmann, Peter},
month = apr,
year = {2014},
keywords = {GLMMLasso, ML, Machine Learning, R-project, glmmixedlasso},
pages = {460--477},
}
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