Approximating the Bayes factor
Erhard Reschenhofer
Statistics & Probability Letters, 1996, vol. 30, issue 3, 241-245
Abstract:
Based on a reparametrization of the Gaussian density and a natural prior for the parameters, a Bayesian model selection criterion is derived, which differs from Schwarz' (1978) criterion by a term which does not vanish as the sample size increases.
Keywords: Model; selection; Penalty; term; BIC; Uniform; prior (search for similar items in EconPapers)
Date: 1996
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(95)00226-X
Full text for ScienceDirect subscribers only
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:eee:stapro:v:30:y:1996:i:3:p:241-245
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().