STRUCTURED, SPARSE REGRESSION WITH APPLICATION TO HIV DRUG RESISTANCE

• 成果类型: Article
• 署名作者: Percival, Daniel; Roeder, Kathryn; Rosenfeld, Roni; Wasserman, Larry
• 署名单位: Carnegie Mellon University; Carnegie Mellon University
• 刊物名称: ANNALS OF APPLIED STATISTICS
• ISSN/ISSBN: 1932-6157
• DOI: 10.1214/10-AOAS428
• 发表日期: 2011
• 页码: 628-644
• 关键词: selection

摘要

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.