[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 19, Issue 2 (3-2009) ::
مجله‌ی بررسی‌ها 2009, 19(2): 211-226 Back to browse issues page
Bayesian Analysis Using Computer
Parviz Nasiri *
Abstract:   (3432 Views)

Abstract. Bayesian analysis starts with selection of a prior distribution which represents our prior knowledge about the parameter. A proper distribution on the parameter space is selected and based on this distribution posterior distribution is approximately estimated. In this paper, we will draw large samples from our prior distribution using computers. The prior sample and the likelihood function can then be utilized to generate another sample which can be considered as a sample from the posterior distribution. Gibbs sampler is another computer procedure to provide complete posterior analysis in a variety of situations. Here we briefly review this approximate methods and illustrate them by some examples.

Keywords: Bayesian analysis, Gibbs sampler, Prior and posterior distribution.
Full-Text [PDF 176 kb]   (1205 Downloads)    
Type of Study: Research | Subject: General
Received: 2008/11/17 | Accepted: 2009/09/27 | Published: 2016/03/1
Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Nasiri P. Bayesian Analysis Using Computer. مجله‌ی بررسی‌ها. 2009; 19 (2) :211-226
URL: http://ijoss.srtc.ac.ir/article-1-110-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 19, Issue 2 (3-2009) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران Ijoss Iranian Journal of Official Statistics Studies
Persian site map - English site map - Created in 0.05 seconds with 30 queries by YEKTAWEB 4460