Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/47288
題名: Asymptotic Posterior Normality for Multiparameter Problems
作者: 翁久幸;蔡紋琦
Weng, Ruby C. ;\r\nTsai, Wen-Chi
關鍵詞: Maximum likelihood estimator; \r\nMultiparameter cases; \r\nPosterior normality; \r\nStein`s identity; \r\nStochastic processes
日期: 2008
上傳時間: 19-Oct-2010
摘要: For 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.
關聯: Journal of Statistical Planning and Inference, 138, 4068-4080
資料類型: article
DOI: http://dx.doi.org/10.1016/j.jspi.2008.03.034
Appears in Collections:期刊論文

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