Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048764598> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W3048764598 abstract "In this paper, we first revisit the Koenker and Bassett variational approach to (univariate) quantile regression, emphasizing its link with latent factor representations and correlation maximization problems. We then review the multivariate extension due to Carlier et al. (Ann Statist 44(3):1165–92, 2016,; J Multivariate Anal 161:96–102, 2017) which relates vector quantile regression to an optimal transport problem with mean independence constraints. We introduce an entropic regularization of this problem, implement a gradient descent numerical method and illustrate its feasibility on univariate and bivariate examples." @default.
- W3048764598 created "2020-08-18" @default.
- W3048764598 creator A5035500350 @default.
- W3048764598 creator A5068383641 @default.
- W3048764598 creator A5081456457 @default.
- W3048764598 creator A5088025305 @default.
- W3048764598 date "2020-08-12" @default.
- W3048764598 modified "2023-09-30" @default.
- W3048764598 title "Vector quantile regression and optimal transport, from theory to numerics" @default.
- W3048764598 cites W2041298434 @default.
- W3048764598 cites W2042319042 @default.
- W3048764598 cites W2075119929 @default.
- W3048764598 cites W2100556411 @default.
- W3048764598 cites W2132883347 @default.
- W3048764598 cites W2133478409 @default.
- W3048764598 cites W4210960245 @default.
- W3048764598 cites W4241653265 @default.
- W3048764598 doi "https://doi.org/10.1007/s00181-020-01919-y" @default.
- W3048764598 hasPublicationYear "2020" @default.
- W3048764598 type Work @default.
- W3048764598 sameAs 3048764598 @default.
- W3048764598 citedByCount "3" @default.
- W3048764598 countsByYear W30487645982021 @default.
- W3048764598 crossrefType "journal-article" @default.
- W3048764598 hasAuthorship W3048764598A5035500350 @default.
- W3048764598 hasAuthorship W3048764598A5068383641 @default.
- W3048764598 hasAuthorship W3048764598A5081456457 @default.
- W3048764598 hasAuthorship W3048764598A5088025305 @default.
- W3048764598 hasBestOaLocation W30487645982 @default.
- W3048764598 hasConcept C105795698 @default.
- W3048764598 hasConcept C118671147 @default.
- W3048764598 hasConcept C126255220 @default.
- W3048764598 hasConcept C149782125 @default.
- W3048764598 hasConcept C153258448 @default.
- W3048764598 hasConcept C154945302 @default.
- W3048764598 hasConcept C161584116 @default.
- W3048764598 hasConcept C199163554 @default.
- W3048764598 hasConcept C2776135515 @default.
- W3048764598 hasConcept C2776330181 @default.
- W3048764598 hasConcept C28826006 @default.
- W3048764598 hasConcept C33923547 @default.
- W3048764598 hasConcept C35651441 @default.
- W3048764598 hasConcept C41008148 @default.
- W3048764598 hasConcept C50644808 @default.
- W3048764598 hasConcept C63817138 @default.
- W3048764598 hasConcept C64341305 @default.
- W3048764598 hasConcept C83546350 @default.
- W3048764598 hasConceptScore W3048764598C105795698 @default.
- W3048764598 hasConceptScore W3048764598C118671147 @default.
- W3048764598 hasConceptScore W3048764598C126255220 @default.
- W3048764598 hasConceptScore W3048764598C149782125 @default.
- W3048764598 hasConceptScore W3048764598C153258448 @default.
- W3048764598 hasConceptScore W3048764598C154945302 @default.
- W3048764598 hasConceptScore W3048764598C161584116 @default.
- W3048764598 hasConceptScore W3048764598C199163554 @default.
- W3048764598 hasConceptScore W3048764598C2776135515 @default.
- W3048764598 hasConceptScore W3048764598C2776330181 @default.
- W3048764598 hasConceptScore W3048764598C28826006 @default.
- W3048764598 hasConceptScore W3048764598C33923547 @default.
- W3048764598 hasConceptScore W3048764598C35651441 @default.
- W3048764598 hasConceptScore W3048764598C41008148 @default.
- W3048764598 hasConceptScore W3048764598C50644808 @default.
- W3048764598 hasConceptScore W3048764598C63817138 @default.
- W3048764598 hasConceptScore W3048764598C64341305 @default.
- W3048764598 hasConceptScore W3048764598C83546350 @default.
- W3048764598 hasFunder F4320306076 @default.
- W3048764598 hasLocation W30487645981 @default.
- W3048764598 hasLocation W30487645982 @default.
- W3048764598 hasLocation W30487645983 @default.
- W3048764598 hasLocation W30487645984 @default.
- W3048764598 hasOpenAccess W3048764598 @default.
- W3048764598 hasPrimaryLocation W30487645981 @default.
- W3048764598 hasRelatedWork W1995758754 @default.
- W3048764598 hasRelatedWork W2036443463 @default.
- W3048764598 hasRelatedWork W2145452746 @default.
- W3048764598 hasRelatedWork W2508420332 @default.
- W3048764598 hasRelatedWork W3005618458 @default.
- W3048764598 hasRelatedWork W3048764598 @default.
- W3048764598 hasRelatedWork W3163916386 @default.
- W3048764598 hasRelatedWork W3194984154 @default.
- W3048764598 hasRelatedWork W4255865839 @default.
- W3048764598 hasRelatedWork W2740808918 @default.
- W3048764598 isParatext "false" @default.
- W3048764598 isRetracted "false" @default.
- W3048764598 magId "3048764598" @default.
- W3048764598 workType "article" @default.