The Latest Development of Objective Bayesian Analysis

Ning Ji () and Yi Dai ()
Additional contact information
Ning Ji: Tianjin University of Technology and Education
Yi Dai: Tianjin University of Technology and Education

Chapter Chapter 69 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 641-646 from Springer

Abstract: Abstract The 2011 International Workshop on Objective Bayes Methodology has been held in East China Normal University last year. This paper selects three experts’ reports to introduce the latest development of Objective Bayesian Analysis. Professor James Berge applied the reference prior in estimating the parameters of Gaussian random field and is shown to yield a proper posterior distribution. Professor Ferreira used the theory of Objective Bayesian to solve the parameters of Exponential Power Regression Models and recommended the Jeffreys prior in three cases. Professor Lai-sheng Wei introduced the loss function for Empirical Bayes test problem for variance components in random effects models and the recommended noninformative prior distribution is given, obtained very good result. Those three experts’ arguments will be introduced in detail in this paper.

Keywords: Gaussian random field; Jeffreys prior; Noninformative prior; Objective Bayesian analysis; Random effects models; Reference prior (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38433-2_69

Ordering information: This item can be ordered from
http://www.springer.com/9783642384332

DOI: 10.1007/978-3-642-38433-2_69

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().