Matches in SemOpenAlex for { <https://semopenalex.org/work/W2904900418> ?p ?o ?g. }
- W2904900418 endingPage "465" @default.
- W2904900418 startingPage "454" @default.
- W2904900418 abstract "In this article, we consider the estimation problem of a tree model for multiple conditional quantile functions of the response. Using the generalized, unbiased interaction detection and estimation algorithm, the quantile regression tree (QRT) method has been developed to construct a tree model for an individual quantile function. However, QRT produces different tree models across quantile levels because it estimates several QRT models separately. Furthermore, the estimated quantile functions from QRT often cross each other and consequently violate the basic properties of quantiles. This undesirable phenomenon reduces prediction accuracy and makes it difficult to interpret the resulting tree models. To overcome such limitations, we propose the unified noncrossing multiple quantile regressions tree (UNQRT) method, which constructs a common tree structure across all interesting quantile levels for better data visualization and model interpretation. Furthermore, the UNQRT estimates noncrossing multiple quantile functions simultaneously by enforcing noncrossing constraints, resulting in the improvement of prediction accuracy. The numerical results are presented to demonstrate the competitive performance of the proposed UNQRT over QRT. Supplementary materials for this article are available online." @default.
- W2904900418 created "2018-12-22" @default.
- W2904900418 creator A5046116327 @default.
- W2904900418 creator A5067342872 @default.
- W2904900418 creator A5068657400 @default.
- W2904900418 date "2019-03-09" @default.
- W2904900418 modified "2023-10-15" @default.
- W2904900418 title "Unified Noncrossing Multiple Quantile Regressions Tree" @default.
- W2904900418 cites W1423766661 @default.
- W2904900418 cites W1519169075 @default.
- W2904900418 cites W1600342639 @default.
- W2904900418 cites W1604329830 @default.
- W2904900418 cites W1716180660 @default.
- W2904900418 cites W1967610656 @default.
- W2904900418 cites W1970373675 @default.
- W2904900418 cites W1970739592 @default.
- W2904900418 cites W1974806455 @default.
- W2904900418 cites W1975286873 @default.
- W2904900418 cites W1976985517 @default.
- W2904900418 cites W1990351156 @default.
- W2904900418 cites W1995174533 @default.
- W2904900418 cites W1996742192 @default.
- W2904900418 cites W2002606226 @default.
- W2904900418 cites W2015005801 @default.
- W2904900418 cites W2017619892 @default.
- W2904900418 cites W2027956056 @default.
- W2904900418 cites W2029606207 @default.
- W2904900418 cites W2038566047 @default.
- W2904900418 cites W2051317694 @default.
- W2904900418 cites W2072154218 @default.
- W2904900418 cites W2073767661 @default.
- W2904900418 cites W2084177755 @default.
- W2904900418 cites W2085020267 @default.
- W2904900418 cites W2086917205 @default.
- W2904900418 cites W2092622249 @default.
- W2904900418 cites W2096904991 @default.
- W2904900418 cites W2108085720 @default.
- W2904900418 cites W2117978909 @default.
- W2904900418 cites W2128624462 @default.
- W2904900418 cites W2133479700 @default.
- W2904900418 cites W2133596638 @default.
- W2904900418 cites W2151832869 @default.
- W2904900418 cites W2165231911 @default.
- W2904900418 cites W2167897348 @default.
- W2904900418 cites W2170219300 @default.
- W2904900418 cites W2172144962 @default.
- W2904900418 cites W2325180252 @default.
- W2904900418 cites W3123218647 @default.
- W2904900418 cites W4206722388 @default.
- W2904900418 cites W4213102919 @default.
- W2904900418 cites W4237638794 @default.
- W2904900418 cites W4241653265 @default.
- W2904900418 cites W4241996101 @default.
- W2904900418 doi "https://doi.org/10.1080/10618600.2018.1546592" @default.
- W2904900418 hasPublicationYear "2019" @default.
- W2904900418 type Work @default.
- W2904900418 sameAs 2904900418 @default.
- W2904900418 citedByCount "2" @default.
- W2904900418 countsByYear W29049004182021 @default.
- W2904900418 countsByYear W29049004182022 @default.
- W2904900418 crossrefType "journal-article" @default.
- W2904900418 hasAuthorship W2904900418A5046116327 @default.
- W2904900418 hasAuthorship W2904900418A5067342872 @default.
- W2904900418 hasAuthorship W2904900418A5068657400 @default.
- W2904900418 hasConcept C105795698 @default.
- W2904900418 hasConcept C113174947 @default.
- W2904900418 hasConcept C118671147 @default.
- W2904900418 hasConcept C124101348 @default.
- W2904900418 hasConcept C134306372 @default.
- W2904900418 hasConcept C149782125 @default.
- W2904900418 hasConcept C33923547 @default.
- W2904900418 hasConcept C41008148 @default.
- W2904900418 hasConcept C63817138 @default.
- W2904900418 hasConceptScore W2904900418C105795698 @default.
- W2904900418 hasConceptScore W2904900418C113174947 @default.
- W2904900418 hasConceptScore W2904900418C118671147 @default.
- W2904900418 hasConceptScore W2904900418C124101348 @default.
- W2904900418 hasConceptScore W2904900418C134306372 @default.
- W2904900418 hasConceptScore W2904900418C149782125 @default.
- W2904900418 hasConceptScore W2904900418C33923547 @default.
- W2904900418 hasConceptScore W2904900418C41008148 @default.
- W2904900418 hasConceptScore W2904900418C63817138 @default.
- W2904900418 hasFunder F4320322120 @default.
- W2904900418 hasIssue "2" @default.
- W2904900418 hasLocation W29049004181 @default.
- W2904900418 hasOpenAccess W2904900418 @default.
- W2904900418 hasPrimaryLocation W29049004181 @default.
- W2904900418 hasRelatedWork W2079454017 @default.
- W2904900418 hasRelatedWork W2171769143 @default.
- W2904900418 hasRelatedWork W2224749288 @default.
- W2904900418 hasRelatedWork W2328874041 @default.
- W2904900418 hasRelatedWork W2563003513 @default.
- W2904900418 hasRelatedWork W2606485752 @default.
- W2904900418 hasRelatedWork W3007130393 @default.
- W2904900418 hasRelatedWork W3128481383 @default.
- W2904900418 hasRelatedWork W4237949580 @default.
- W2904900418 hasRelatedWork W4324319436 @default.
- W2904900418 hasVolume "28" @default.