A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD)

DOI10.1101/2020.03.06.980953zbMath1475.62034OpenAlexW3155115410MaRDI QIDQ2058755

Nilanjana Laha, Christoph Lange, Georg Hahn, Michael H. Cho, Sharon M. Lutz, Edwin K. Silverman

Publication date: 9 December 2021

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-021-10010-0

zbMATH Keywords

smoothingLassoFISTACOPDNesterovpenalized linear regressionpolygenic risk scores

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

smoothedLasso

Uses Software

• FASTA
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Cites Work

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• Smooth minimization of non-smooth functions
• A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
• A finite algorithm for finding the projection of a point onto the canonical simplex of \({\mathbb R}^ n\)
• Least angle regression. (With discussion)
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• An iterative thresholding algorithm for linear inverse problems with a sparsity constraint

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