High-dimensional longitudinal classification with the multinomial fused lasso

We study regularized estimation in high-dimensional longitudinal classification problems, using the lasso and fused lasso regularizers. The constructed coefficient estimates are piecewise constant across the time dimension in the longitudinal problem, with adaptively selected change points (break po...

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Bibliographic Details
Published in:Stat Med
Main Authors: Adhikari, Samrachana, Lecci, Fabrizio, Becker, James T., Junker, Brian W., Kuller, Lewis H., Lopez, Oscar L., Tibshirani, Ryan J.
Format: Artigo
Language:Inglês
Published: 2019
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6599683/
https://ncbi.nlm.nih.gov/pubmed/30701586
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8100
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