Matches in SemOpenAlex for { <https://semopenalex.org/work/W3037333621> ?p ?o ?g. }
Showing items 1 to 50 of
50
with 100 items per page.
- W3037333621 abstract "Screening for ultrahigh dimensional features may encounter complicated issues such as outlying observations, heteroscedasticity or heavy-tailed distribution, multi-collinearity and confounding effects. Standard correlation-based marginal screening methods may be a weak solution to these issues. We contribute a novel robust joint screener to safeguard against outliers and distribution mis-specification for both the response variable and the covariates, and to account for external variables at the screening step. Specifically, we introduce a copula-based partial correlation (CPC) screener. We show that the empirical process of the estimated CPC converges weakly to a Gaussian process and establish the sure screening property for CPC screener under very mild technical conditions, where we need not require any moment condition, weaker than existing alternatives in the literature. Moreover, our approach allows for a diverging number of conditional variables from the theoretical point of view. Extensive simulation studies and two data applications are included to illustrate our proposal." @default.
- W3037333621 created "2020-07-02" @default.
- W3037333621 creator A5023911808 @default.
- W3037333621 creator A5025290467 @default.
- W3037333621 date "2021-01-01" @default.
- W3037333621 modified "2023-09-26" @default.
- W3037333621 title "Copula-based Partial Correlation Screening: a Joint and Robust Approach" @default.
- W3037333621 cites W1656287659 @default.
- W3037333621 cites W2012309718 @default.
- W3037333621 cites W2029947124 @default.
- W3037333621 doi "https://doi.org/10.5705/ss.202018.0219" @default.
- W3037333621 hasPublicationYear "2021" @default.
- W3037333621 type Work @default.
- W3037333621 sameAs 3037333621 @default.
- W3037333621 citedByCount "1" @default.
- W3037333621 countsByYear W30373336212020 @default.
- W3037333621 crossrefType "journal-article" @default.
- W3037333621 hasAuthorship W3037333621A5023911808 @default.
- W3037333621 hasAuthorship W3037333621A5025290467 @default.
- W3037333621 hasBestOaLocation W30373336212 @default.
- W3037333621 hasConcept C117220453 @default.
- W3037333621 hasConcept C149782125 @default.
- W3037333621 hasConcept C17618745 @default.
- W3037333621 hasConcept C2524010 @default.
- W3037333621 hasConcept C33923547 @default.
- W3037333621 hasConcept C41008148 @default.
- W3037333621 hasConceptScore W3037333621C117220453 @default.
- W3037333621 hasConceptScore W3037333621C149782125 @default.
- W3037333621 hasConceptScore W3037333621C17618745 @default.
- W3037333621 hasConceptScore W3037333621C2524010 @default.
- W3037333621 hasConceptScore W3037333621C33923547 @default.
- W3037333621 hasConceptScore W3037333621C41008148 @default.
- W3037333621 hasLocation W30373336211 @default.
- W3037333621 hasLocation W30373336212 @default.
- W3037333621 hasOpenAccess W3037333621 @default.
- W3037333621 hasPrimaryLocation W30373336211 @default.
- W3037333621 hasRelatedWork W2042835466 @default.
- W3037333621 hasRelatedWork W2110407480 @default.
- W3037333621 hasRelatedWork W2132897556 @default.
- W3037333621 hasRelatedWork W2230584617 @default.
- W3037333621 hasRelatedWork W2237076775 @default.
- W3037333621 hasRelatedWork W2409225390 @default.
- W3037333621 hasRelatedWork W3088954151 @default.
- W3037333621 hasRelatedWork W3099337062 @default.
- W3037333621 hasRelatedWork W4290018185 @default.
- W3037333621 hasRelatedWork W2183094535 @default.
- W3037333621 isParatext "false" @default.
- W3037333621 isRetracted "false" @default.
- W3037333621 magId "3037333621" @default.
- W3037333621 workType "article" @default.