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Activity Number: 579
Type: Contributed
Date/Time: Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #304127
Title: Bayesian Inference Based on Conditional Priors for a Bivariate Hidden Truncated Pareto(II) Model
Author(s): Indranil Ghosh*+
Companies: North Dakota State University
Address: 1445 West Gateway Circle, South, Fargo, ND, 58103, United States
Keywords: Bayesian infernce ; conditional priors ; hidden truncation model
Abstract:

Data from a hidden truncated Pareto(II) distribution are to be used to make inferences about the inequality, precision and truncation parameters.Two different types of dependent prior analyses are reviewed and compared with each other.It is argued that mathematical tractability should be, perhaps,a minor consideration in choosing the appropriate choices of the hyper-parameters for the prior densities. Some illustrative examples are provided.


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