EconPapers    
Economics at your fingertips  
 

Power Prior Elicitation in Bayesian Quantile Regression

Rahim Alhamzawi (ralhamzawi@yahoo.com) and Keming Yu

Journal of Probability and Statistics, 2011, vol. 2011, 1-16

Abstract:

We address a quantile dependent prior for Bayesian quantile regression. We extend the idea of the power prior distribution in Bayesian quantile regression by employing the likelihood function that is based on a location-scale mixture representation of the asymmetric Laplace distribution. The propriety of the power prior is one of the critical issues in Bayesian analysis. Thus, we discuss the propriety of the power prior in Bayesian quantile regression. The methods are illustrated with both simulation and real data.

Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link)
http://downloads.hindawi.com/journals/JPS/2011/874907.pdf (application/pdf)
http://downloads.hindawi.com/journals/JPS/2011/874907.xml (text/xml)

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:hin:jnljps:874907

DOI: 10.1155/2011/874907

Access Statistics for this article

More articles in Journal of Probability and Statistics from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem (mohamed.abdelhakeem@hindawi.com).

 
Page updated 2023-06-15
Handle: RePEc:hin:jnljps:874907