Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/47288
DC FieldValueLanguage
dc.creator翁久幸;蔡紋琦zh_TW
dc.creatorWeng, Ruby C. ;\r\nTsai, Wen-Chi-
dc.date2008-
dc.date.accessioned2010-10-19T14:48:51Z-
dc.date.available2010-10-19T14:48:51Z-
dc.date.issued2010-10-19T14:48:51Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/47288-
dc.description.abstractFor asymptotic posterior normality in the one-parameter cases, Weng [2003. On Stein`s identity for posterior normality. Statist. Sinica 13, 495–506] proposed to use a version of Stein`s Identity to write the posterior expectations for functions of a normalized quantity in a form that is more transparent and can be easily analyzed. In the present paper we extend this approach to the multi-parameter cases and compare our conditions with earlier work. Three examples are used to illustrate the application of this method.-
dc.languagezh_TWen
dc.language.isoen_US-
dc.relationJournal of Statistical Planning and Inference, 138, 4068-4080en
dc.subjectMaximum likelihood estimator; \r\nMultiparameter cases; \r\nPosterior normality; \r\nStein`s identity; \r\nStochastic processes-
dc.titleAsymptotic Posterior Normality for Multiparameter Problemsen
dc.typearticleen
dc.identifier.doi10.1016/j.jspi.2008.03.034en_US
dc.doi.urihttp://dx.doi.org/10.1016/j.jspi.2008.03.034en_US
item.languageiso639-1en_US-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypearticle-
item.fulltextWith Fulltext-
item.grantfulltextopen-
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