Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891479958> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2891479958 endingPage "235" @default.
- W2891479958 startingPage "219" @default.
- W2891479958 abstract "We consider high-dimensional regression over subgroups of observations. Our work is motivated by biomedical problems, where subsets of samples, representing for example disease subtypes, may differ with respect to underlying regression models. In the high-dimensional setting, estimating a different model for each subgroup is challenging due to limited sample sizes. Focusing on the case in which subgroup-specific models may be expected to be similar but not necessarily identical, we treat subgroups as related problem instances and jointly estimate subgroup-specific regression coefficients. This is done in a penalized framework, combining an $ell_1$ term with an additional term that penalizes differences between subgroup-specific coefficients. This gives solutions that are globally sparse but that allow information-sharing between the subgroups. We present algorithms for estimation and empirical results on simulated data and using Alzheimer's disease, amyotrophic lateral sclerosis, and cancer datasets. These examples demonstrate the gains joint estimation can offer in prediction as well as in providing subgroup-specific sparsity patterns." @default.
- W2891479958 created "2018-09-27" @default.
- W2891479958 creator A5070040086 @default.
- W2891479958 creator A5071750086 @default.
- W2891479958 date "2018-09-05" @default.
- W2891479958 modified "2023-10-12" @default.
- W2891479958 title "The joint lasso: high-dimensional regression for group structured data" @default.
- W2891479958 cites W1905165690 @default.
- W2891479958 cites W2042865986 @default.
- W2891479958 cites W2043398720 @default.
- W2891479958 cites W2056636001 @default.
- W2891479958 cites W2063645384 @default.
- W2891479958 cites W2077609937 @default.
- W2891479958 cites W2097360283 @default.
- W2891479958 cites W2107838694 @default.
- W2891479958 cites W2124885415 @default.
- W2891479958 cites W2132555912 @default.
- W2891479958 cites W2138019504 @default.
- W2891479958 cites W2140514146 @default.
- W2891479958 cites W2159482845 @default.
- W2891479958 cites W2159514083 @default.
- W2891479958 cites W2165009258 @default.
- W2891479958 cites W2165840723 @default.
- W2891479958 cites W2167732364 @default.
- W2891479958 cites W2172185584 @default.
- W2891479958 cites W2316563643 @default.
- W2891479958 cites W2335094569 @default.
- W2891479958 cites W3103643510 @default.
- W2891479958 cites W4294216483 @default.
- W2891479958 cites W4294541781 @default.
- W2891479958 doi "https://doi.org/10.1093/biostatistics/kxy035" @default.
- W2891479958 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7868060" @default.
- W2891479958 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30192903" @default.
- W2891479958 hasPublicationYear "2018" @default.
- W2891479958 type Work @default.
- W2891479958 sameAs 2891479958 @default.
- W2891479958 citedByCount "21" @default.
- W2891479958 countsByYear W28914799582019 @default.
- W2891479958 countsByYear W28914799582020 @default.
- W2891479958 countsByYear W28914799582021 @default.
- W2891479958 countsByYear W28914799582022 @default.
- W2891479958 countsByYear W28914799582023 @default.
- W2891479958 crossrefType "journal-article" @default.
- W2891479958 hasAuthorship W2891479958A5070040086 @default.
- W2891479958 hasAuthorship W2891479958A5071750086 @default.
- W2891479958 hasBestOaLocation W28914799581 @default.
- W2891479958 hasConcept C105795698 @default.
- W2891479958 hasConcept C136764020 @default.
- W2891479958 hasConcept C152877465 @default.
- W2891479958 hasConcept C187960798 @default.
- W2891479958 hasConcept C33923547 @default.
- W2891479958 hasConcept C37616216 @default.
- W2891479958 hasConcept C41008148 @default.
- W2891479958 hasConcept C44249647 @default.
- W2891479958 hasConcept C83546350 @default.
- W2891479958 hasConceptScore W2891479958C105795698 @default.
- W2891479958 hasConceptScore W2891479958C136764020 @default.
- W2891479958 hasConceptScore W2891479958C152877465 @default.
- W2891479958 hasConceptScore W2891479958C187960798 @default.
- W2891479958 hasConceptScore W2891479958C33923547 @default.
- W2891479958 hasConceptScore W2891479958C37616216 @default.
- W2891479958 hasConceptScore W2891479958C41008148 @default.
- W2891479958 hasConceptScore W2891479958C44249647 @default.
- W2891479958 hasConceptScore W2891479958C83546350 @default.
- W2891479958 hasFunder F4320306078 @default.
- W2891479958 hasFunder F4320332161 @default.
- W2891479958 hasIssue "2" @default.
- W2891479958 hasLocation W28914799581 @default.
- W2891479958 hasLocation W28914799582 @default.
- W2891479958 hasLocation W28914799583 @default.
- W2891479958 hasOpenAccess W2891479958 @default.
- W2891479958 hasPrimaryLocation W28914799581 @default.
- W2891479958 hasRelatedWork W2060912888 @default.
- W2891479958 hasRelatedWork W2080727847 @default.
- W2891479958 hasRelatedWork W2105505498 @default.
- W2891479958 hasRelatedWork W2119696881 @default.
- W2891479958 hasRelatedWork W2130434665 @default.
- W2891479958 hasRelatedWork W2371621356 @default.
- W2891479958 hasRelatedWork W2596246234 @default.
- W2891479958 hasRelatedWork W3083243621 @default.
- W2891479958 hasRelatedWork W4200341517 @default.
- W2891479958 hasRelatedWork W2738033194 @default.
- W2891479958 hasVolume "21" @default.
- W2891479958 isParatext "false" @default.
- W2891479958 isRetracted "false" @default.
- W2891479958 magId "2891479958" @default.
- W2891479958 workType "article" @default.