An Alternative Conjugate Prior Distribution for Positive Parameters

Marcelo Bourguignon ()
Additional contact information
Marcelo Bourguignon: Universidade Federal do Rio Grande do Norte

Annals of Data Science, 2019, vol. 6, issue 2, No 4, 237-243

Abstract: Abstract In this paper, we propose a new conjugate prior probability distribution to many likelihoods distributions. In particular, we use the weighted Lindley distribution as a conjugate prior distribution. The weighted Lindley distribution can be viewed as a mixture of two gamma distributions with know weights. The weighted Lindley distribution of conjugate priors offers a more flexible class of priors than the class of gamma prior distributions. The results are illustrated for the problem of inference for Poisson and normal parameters.

Keywords: Bayesian analysis; Conjugate prior; Gamma distribution; Weighted Lindley distribution (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40745-018-0174-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:aodasc:v:6:y:2019:i:2:d:10.1007_s40745-018-0174-z

Ordering information: This journal article can be ordered from
https://www.springer ... gement/journal/40745

DOI: 10.1007/s40745-018-0174-z

Access Statistics for this article

Annals of Data Science is currently edited by Yong Shi

More articles in Annals of Data Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().