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Structured, sparse regression with application to HIV drug resistance

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journal contribution
posted on 01.01.2011, 00:00 by Daniel Percival, Kathryn Roeder, Roni Rosenfeld, Larry Wasserman

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.

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Publisher Statement

© Institute of Mathematical Statistics, 2011 The version of record is available online at http://dx.doi.org/10.1214/10-AOAS428

Date

01/01/2011

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