BibTeX
CSL-JSON
MLA
Harvard
Structured, sparse regression with application to HIV drug resistance
release_4axyujuiorhtblougd7olm2i34
by
Daniel Percival, Kathryn Roeder, Roni Rosenfeld, Larry Wasserman
Released
as a report
.
2011
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 connections.
In text/plain
format
Archived Files and Locations
application/pdf 328.6 kB
file_h2lh4lspt5bdtdos7nshe62dxq
|
web.archive.org (webarchive) arxiv.org (repository) core.ac.uk (web) archive.org (archive) |
Read Archived PDF
Preserved and Accessible
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
access all versions, variants, and formats of this works (eg, pre-prints)
Cite This
Lookup Links