Matches in SemOpenAlex for { <https://semopenalex.org/work/W2337194294> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2337194294 endingPage "440" @default.
- W2337194294 startingPage "425" @default.
- W2337194294 abstract "Stein (1945 Stein, C. (1945). Two-Sample Test for a Linear Hypothesis Whose Power Is Independent of the Variance, Annals of Mathematical Statistics 16: 243–258.[Crossref] , [Google Scholar]) proposed a two-stage sequential methodology of inference that influenced numerous areas of statistics. In this article, the Stein's methodology is used and expands upon nonparametric estimation of the directional probability density. The aim is to propose a data-driven nonparametric sequential procedure that mimics performance of an oracle that knows smoothness of an estimated density and minimizes the mean stopping time given an assigned mean integrated squared error. For such a setting, using a sequential estimator is the must because smoothness of the density is unknown. It is known that for a general random variable the stated problem has no solution because an estimator cannot perform as well as the minimax oracle. At the same time, this article shows that for the case of directional density, under a mild assumption, there exists a data-driven two-stage sequential procedure that is minimax and adapts to unknown smoothness of an underlying density. Furthermore, we are able to solve the same problem for a setting where some observations in a sample may be lost due to a stochastic missing mechanism. This is a practically important and theoretically interesting problem because for missing data even the above-mentioned oracle cannot solve it without knowing the missing mechanism." @default.
- W2337194294 created "2016-06-24" @default.
- W2337194294 creator A5030298693 @default.
- W2337194294 date "2015-10-02" @default.
- W2337194294 modified "2023-09-25" @default.
- W2337194294 title "Two-Stage Nonparametric Sequential Estimation of the Directional Density with Complete and Missing Observations" @default.
- W2337194294 cites W1963573722 @default.
- W2337194294 cites W1984122233 @default.
- W2337194294 cites W2008920675 @default.
- W2337194294 cites W2011768958 @default.
- W2337194294 cites W2026811131 @default.
- W2337194294 cites W2034478315 @default.
- W2337194294 cites W2070737441 @default.
- W2337194294 cites W2107918121 @default.
- W2337194294 cites W2480680997 @default.
- W2337194294 cites W4206628346 @default.
- W2337194294 cites W4241561347 @default.
- W2337194294 doi "https://doi.org/10.1080/07474946.2015.1099934" @default.
- W2337194294 hasPublicationYear "2015" @default.
- W2337194294 type Work @default.
- W2337194294 sameAs 2337194294 @default.
- W2337194294 citedByCount "1" @default.
- W2337194294 countsByYear W23371942942017 @default.
- W2337194294 crossrefType "journal-article" @default.
- W2337194294 hasAuthorship W2337194294A5030298693 @default.
- W2337194294 hasConcept C102366305 @default.
- W2337194294 hasConcept C102634674 @default.
- W2337194294 hasConcept C105795698 @default.
- W2337194294 hasConcept C11413529 @default.
- W2337194294 hasConcept C115903868 @default.
- W2337194294 hasConcept C126255220 @default.
- W2337194294 hasConcept C129848803 @default.
- W2337194294 hasConcept C134306372 @default.
- W2337194294 hasConcept C149728462 @default.
- W2337194294 hasConcept C185429906 @default.
- W2337194294 hasConcept C189508267 @default.
- W2337194294 hasConcept C28826006 @default.
- W2337194294 hasConcept C33923547 @default.
- W2337194294 hasConcept C41008148 @default.
- W2337194294 hasConcept C55166926 @default.
- W2337194294 hasConcept C86426650 @default.
- W2337194294 hasConcept C9357733 @default.
- W2337194294 hasConceptScore W2337194294C102366305 @default.
- W2337194294 hasConceptScore W2337194294C102634674 @default.
- W2337194294 hasConceptScore W2337194294C105795698 @default.
- W2337194294 hasConceptScore W2337194294C11413529 @default.
- W2337194294 hasConceptScore W2337194294C115903868 @default.
- W2337194294 hasConceptScore W2337194294C126255220 @default.
- W2337194294 hasConceptScore W2337194294C129848803 @default.
- W2337194294 hasConceptScore W2337194294C134306372 @default.
- W2337194294 hasConceptScore W2337194294C149728462 @default.
- W2337194294 hasConceptScore W2337194294C185429906 @default.
- W2337194294 hasConceptScore W2337194294C189508267 @default.
- W2337194294 hasConceptScore W2337194294C28826006 @default.
- W2337194294 hasConceptScore W2337194294C33923547 @default.
- W2337194294 hasConceptScore W2337194294C41008148 @default.
- W2337194294 hasConceptScore W2337194294C55166926 @default.
- W2337194294 hasConceptScore W2337194294C86426650 @default.
- W2337194294 hasConceptScore W2337194294C9357733 @default.
- W2337194294 hasIssue "4" @default.
- W2337194294 hasLocation W23371942941 @default.
- W2337194294 hasOpenAccess W2337194294 @default.
- W2337194294 hasPrimaryLocation W23371942941 @default.
- W2337194294 hasRelatedWork W1552619737 @default.
- W2337194294 hasRelatedWork W1581457601 @default.
- W2337194294 hasRelatedWork W2085970277 @default.
- W2337194294 hasRelatedWork W2337194294 @default.
- W2337194294 hasRelatedWork W2403779332 @default.
- W2337194294 hasRelatedWork W2902894609 @default.
- W2337194294 hasRelatedWork W3100898040 @default.
- W2337194294 hasRelatedWork W4293422717 @default.
- W2337194294 hasRelatedWork W4313296430 @default.
- W2337194294 hasRelatedWork W3119113059 @default.
- W2337194294 hasVolume "34" @default.
- W2337194294 isParatext "false" @default.
- W2337194294 isRetracted "false" @default.
- W2337194294 magId "2337194294" @default.
- W2337194294 workType "article" @default.