کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1147996 | 957814 | 2009 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Bayesian prediction of a density function in terms of ee-mixture
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موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
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چکیده انگلیسی
The optimum Bayesian predictor under the ee-divergence loss is proposed and discussed. Notable dualistic structure is observed between the proposed predictor and the optimum predictor under the mm-divergence loss, the latter of which is dominantly discussed in the existing literature. An advantage of the proposed optimum predictor is that it is estimative, when the sampling density is in the exponential family. Potential advantages of the proposed predictor over its dual one are discussed, which include the shrinkage estimator and the Bayesian model selection criterion DIC (deviance information criterion). Further, we emphasize potential usefulness of the use of Jeffreys’ prior.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 139, Issue 9, 1 September 2009, Pages 3064–3075
Journal: Journal of Statistical Planning and Inference - Volume 139, Issue 9, 1 September 2009, Pages 3064–3075
نویسندگان
Takemi Yanagimoto, Toshio Ohnishi,