Matches in SemOpenAlex for { <https://semopenalex.org/work/W2000291746> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2000291746 endingPage "542" @default.
- W2000291746 startingPage "529" @default.
- W2000291746 abstract "SUMMARY We consider parametric frameworks for the prediction of future values of a random variable Y, based on previously observed data X. Simple pivotal methods for obtaining calibrated prediction intervals are presented and illustrated. Frequentist predictive distri butions are defined as confidence distributions, and their utility is demonstrated. A simple pivotal-based approach that produces prediction intervals and predictive distributions with well-calibrated frequentist probability interpretations is introduced, and efficient simulation methods for producing predictive distributions are considered. Properties related to an average Kullback-Leibler measure of goodness for predictive or estimated distributions are given. The predictive distributions here are shown to be optimal in certain settings with invariance structure, and to dominate plug-in distributions under certain conditions." @default.
- W2000291746 created "2016-06-24" @default.
- W2000291746 creator A5018870818 @default.
- W2000291746 creator A5028560927 @default.
- W2000291746 date "2005-09-01" @default.
- W2000291746 modified "2023-09-27" @default.
- W2000291746 title "Frequentist prediction intervals and predictive distributions" @default.
- W2000291746 cites W1580053014 @default.
- W2000291746 cites W1974832471 @default.
- W2000291746 cites W1975445678 @default.
- W2000291746 cites W1981154957 @default.
- W2000291746 cites W1984548420 @default.
- W2000291746 cites W1987037087 @default.
- W2000291746 cites W2008893260 @default.
- W2000291746 cites W2011626015 @default.
- W2000291746 cites W2029629124 @default.
- W2000291746 cites W2034517627 @default.
- W2000291746 cites W2040066666 @default.
- W2000291746 cites W2040709360 @default.
- W2000291746 cites W2050190133 @default.
- W2000291746 cites W2052542886 @default.
- W2000291746 cites W2080298768 @default.
- W2000291746 cites W2092594833 @default.
- W2000291746 cites W2097879961 @default.
- W2000291746 cites W2109533003 @default.
- W2000291746 cites W2147555604 @default.
- W2000291746 cites W2151038992 @default.
- W2000291746 cites W2415010481 @default.
- W2000291746 cites W2936537830 @default.
- W2000291746 cites W50817686 @default.
- W2000291746 doi "https://doi.org/10.1093/biomet/92.3.529" @default.
- W2000291746 hasPublicationYear "2005" @default.
- W2000291746 type Work @default.
- W2000291746 sameAs 2000291746 @default.
- W2000291746 citedByCount "162" @default.
- W2000291746 countsByYear W20002917462012 @default.
- W2000291746 countsByYear W20002917462013 @default.
- W2000291746 countsByYear W20002917462014 @default.
- W2000291746 countsByYear W20002917462015 @default.
- W2000291746 countsByYear W20002917462016 @default.
- W2000291746 countsByYear W20002917462017 @default.
- W2000291746 countsByYear W20002917462018 @default.
- W2000291746 countsByYear W20002917462019 @default.
- W2000291746 countsByYear W20002917462020 @default.
- W2000291746 countsByYear W20002917462021 @default.
- W2000291746 countsByYear W20002917462022 @default.
- W2000291746 countsByYear W20002917462023 @default.
- W2000291746 crossrefType "journal-article" @default.
- W2000291746 hasAuthorship W2000291746A5018870818 @default.
- W2000291746 hasAuthorship W2000291746A5028560927 @default.
- W2000291746 hasConcept C103402496 @default.
- W2000291746 hasConcept C105795698 @default.
- W2000291746 hasConcept C107673813 @default.
- W2000291746 hasConcept C149782125 @default.
- W2000291746 hasConcept C160234255 @default.
- W2000291746 hasConcept C162376815 @default.
- W2000291746 hasConcept C33923547 @default.
- W2000291746 hasConcept C917703 @default.
- W2000291746 hasConceptScore W2000291746C103402496 @default.
- W2000291746 hasConceptScore W2000291746C105795698 @default.
- W2000291746 hasConceptScore W2000291746C107673813 @default.
- W2000291746 hasConceptScore W2000291746C149782125 @default.
- W2000291746 hasConceptScore W2000291746C160234255 @default.
- W2000291746 hasConceptScore W2000291746C162376815 @default.
- W2000291746 hasConceptScore W2000291746C33923547 @default.
- W2000291746 hasConceptScore W2000291746C917703 @default.
- W2000291746 hasIssue "3" @default.
- W2000291746 hasLocation W20002917461 @default.
- W2000291746 hasOpenAccess W2000291746 @default.
- W2000291746 hasPrimaryLocation W20002917461 @default.
- W2000291746 hasRelatedWork W2124921287 @default.
- W2000291746 hasRelatedWork W2126476858 @default.
- W2000291746 hasRelatedWork W2153216061 @default.
- W2000291746 hasRelatedWork W3042703790 @default.
- W2000291746 hasRelatedWork W3122770996 @default.
- W2000291746 hasRelatedWork W3179136622 @default.
- W2000291746 hasRelatedWork W4253877353 @default.
- W2000291746 hasRelatedWork W4281755394 @default.
- W2000291746 hasRelatedWork W4283703096 @default.
- W2000291746 hasRelatedWork W79111643 @default.
- W2000291746 hasVolume "92" @default.
- W2000291746 isParatext "false" @default.
- W2000291746 isRetracted "false" @default.
- W2000291746 magId "2000291746" @default.
- W2000291746 workType "article" @default.