کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1148081 1489757 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
About the non-asymptotic behaviour of Bayes estimators
ترجمه فارسی عنوان
درباره رفتار غیرضروری برآوردگرهای بیز
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
چکیده انگلیسی

This paper investigates the nonasymptotic   properties of Bayes procedures for estimating an unknown distribution from nn i.i.d. observations. We assume that the prior is supported by a model (S,h)(S,h) (where hh denotes the Hellinger distance) with suitable metric properties involving the number of small balls that are needed to cover larger ones. We also require that the prior put enough probability on small balls.We consider two different situations. The simplest case is the one of a parametric model containing the target density for which we show that the posterior concentrates around the true distribution at rate 1/n. In the general situation, we relax the parametric assumption and take into account a possible misspecification of the model. Provided that the Kullback–Leibler Information between the true distribution and the model SS is finite, we establish risk bounds for the Bayes estimators.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 166, November 2015, Pages 67–77
نویسندگان
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