首页   按字顺浏览 期刊浏览 卷期浏览 Bayesian Statistics without Tears: A Sampling–Resampling Perspective
Bayesian Statistics without Tears: A Sampling–Resampling Perspective

 

作者: A.F. M. Smith,   A.E. Gelfand,  

 

期刊: The American Statistician  （Taylor Available online 1992）
卷期: Volume 46, issue 2  

页码: 84-88

 

ISSN:0003-1305

 

年代: 1992

 

DOI:10.1080/00031305.1992.10475856

 

出版商: Taylor & Francis Group

 

关键词: Bayesian inference;Exploratory data analysis;Graphical methods;Influence;Posterior distribution;Prediction;Prior distribution;Random variate generation;Sampling-resampling techniques;Sensitivity analysis;Weighted bootstrap

 

数据来源: Taylor

 

摘要:

Even to the initiated, statistical calculations based on Bayes's Theorem can be daunting because of the numerical integrations required in all but the simplest applications. Moreover, from a teaching perspective, introductions to Bayesian statistics—if they are given at all—are circumscribed by these apparent calculational difficulties. Here we offer a straightforward sampling-resampling perspective on Bayesian inference, which has both pedagogic appeal and suggests easily implemented calculation strategies.

 

点击下载:  PDF (409KB)



返 回