title: STRUCTURED, SPARSE REGRESSION WITH APPLICATION TO HIV DRUG RESISTANCE.
abstract: 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 connection.
authors: Carnegie Mellon University, Department of Statistics, Pittsburgh, PA 15213 USA, dperciva@stat.cmu.edu , roeder@stat.cmu.edu , larry@stat.cmu.edu.
authors: Daniel
authors: D
authors: Percival
authors: Kathryn
authors: K
authors: Roeder
authors: Roni
authors: R
authors: Rosenfeld
authors: Larry
authors: L
authors: Wasserman