Using Copula Functions in Bayesian Analysis: A Comparison of the Lognormal Conjugate
Hemantha S. B. Herath and
Pranesh Kumar
The Engineering Economist, 2015, vol. 60, issue 2, 89-108
Abstract:
Bayesian techniques have been applied to analyze sequential investment decisions in the capital budgeting literature. This article introduces copula-based Bayesian analysis as an alternative to the traditional approach where conjugate relationships do not exist. Using a numerical example, we illustrate the steps involved in the copula-based Bayesian approach. Graphical techniques for selecting an appropriate copula are also discussed. The unique ability of copulas to model nonlinear dependence rationalizes the use of copula functions as an alternative technique.
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0013791X.2014.962719 (text/html)
Access to full text is restricted to subscribers.
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:taf:uteexx:v:60:y:2015:i:2:p:89-108
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTEE20
DOI: 10.1080/0013791X.2014.962719
Access Statistics for this article
The Engineering Economist is currently edited by Sarah Ryan
More articles in The Engineering Economist from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().