Bayesian estimation of incomplete data using conditionally specified priors. Issue 5 (28th May 2017)

• Record Type: Journal Article
• Authors: Sarabia, José María; Shahtahmassebi, Golnaz
• Is Part Of: Communications in statistics. Volume 46:Issue 5(2017)
• Page Start: 3419
• Page End: 3435
• Publication Date: 2017-05-28
• Subjects: Bayesian analysis -- Conditional specification -- Confluent hypergeometric distribution -- Truncated gamma distribution; Primary 62F15 -- Secondary 62E15; Mathematical statistics -- Periodicals; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5
• DOI: 10.1080/03610918.2015.1091076
• Languages: English
• ISSNs: 0361-0918

Abstract

ABSTRACT: In this article, a class of conjugate prior for estimating incomplete count data based on a broad class of conjugate prior distributions is presented. The new class of prior distributions arises from a conditional perspective, making use of the conditional specification methodology and can be considered as the generalization of the form of prior distributions that have been used previously in the estimation of incomplete count data well. Finally, some examples of simulated and real data are given.