Bayesian Reference Analysis for the Generalized Gamma Distribution

被引：5

作者：

Ramos, Pedro Luiz ^{[1
]}

Louzada, Francisco ^{[1
]}

机构：

[1] Univ Sao Paulo, Inst Math Sci & Comp, BR-13566590 Sao Carlos, SP, Brazil

来源：

IEEE COMMUNICATIONS LETTERS | 2018年 / 22卷 / 09期

基金：

巴西圣保罗研究基金会;

关键词：

Bayesian inference; generalized Gamma distribution; objective prior; reference prior; FADING CHANNELS; PARAMETER; MODEL;

D O I：

10.1109/LCOMM.2018.2848232

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this letter, we present a Bayesian reference analysis for the generalized gamma distribution by using a reference prior, which has important properties such as one-to-one invariance under reparametrization, consistent marginalization, consistent sampling, and leads to a proper posterior density. A simulation study is performed in order to verify the efficiency of our proposed methodology.

引用

页码：1950 / 1953

页数：4

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