A Bayesian Look at Nonidentifiability: A Simple Example

Sergio Wechsler; Rafael Izbicki; Luis Gustavo Esteves

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A Bayesian Look at Nonidentifiability: A Simple Example

机译：贝叶斯关于不可识别性的一个简单例子

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摘要

This article discusses the concept of identifiability in simple probability calculus. Emphasis is given to Bayesian solutions. In particular, we compare Bayes and maximum likelihood estimators. We advocate adoption of informative prior probabilities for the Bayesian operation in place of diffuse or reference priors. We also discuss the concept of identifying functions.

机译：本文讨论了简单概率演算中的可识别性概念。重点是贝叶斯解决方案。特别是，我们比较了贝叶斯和最大似然估计。我们主张采用贝叶斯运算的信息先验概率代替分散先验或参考先验。我们还将讨论识别功能的概念。

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来源
《The American statistician》 |2013年第2期|90-93|共4页
作者
Sergio Wechsler; Rafael Izbicki; Luis Gustavo Esteves;
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作者单位

Department of Statistics, University of Sao Paulo, Sao Paulo,Brazil;

Department of Statistics, Carnegie Mellon University, Pittsburgh, PA;

Department of Statistics, University of Sao Paulo, Sao Paulo,Brazil;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Bayesian operation; Classical procedures; Identifiability; Informativeness; Likelihood function; Parameter space;

机译：贝叶斯运算;古典程序;可识别性;信息性;似然函数;参数空间;

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6. On Bayesian problem-solving: helping Bayesians solve simple Bayesian word problems [O] . Miroslav Sirota, Gaëlle Vallée-Tourangeau, Frédéric Vallée-Tourangeau, -1

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8. Bayesian Discovery Sampling: A Simple Model of Bayesian Inference in Auditing [R] . van Batenburg, P. C., Kriens, J. 1990

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A Bayesian Look at Nonidentifiability: A Simple Example

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