The Annals of Applied Statistics
- Ann. Appl. Stat.
- Volume 5, Number 2A (2011), 628-644.
Structured, sparse regression with application to HIV drug resistance
We introduce a new version of forward stepwise regression. Our modification finds solutions to regression problems where the selected predictors appear in a structured pattern, with respect to a predefined distance measure over the candidate predictors. Our method is motivated by the problem of predicting HIV-1 drug resistance from protein sequences. We find that our method improves the interpretability of drug resistance while producing comparable predictive accuracy to standard methods. We also demonstrate our method in a simulation study and present some theoretical results and connections.
Ann. Appl. Stat. Volume 5, Number 2A (2011), 628-644.
First available in Project Euclid: 13 July 2011
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Percival, Daniel; Roeder, Kathryn; Rosenfeld, Roni; Wasserman, Larry. Structured, sparse regression with application to HIV drug resistance. Ann. Appl. Stat. 5 (2011), no. 2A, 628--644. doi:10.1214/10-AOAS428. https://projecteuclid.org/euclid.aoas/1310562198