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Abstract Details
Activity Number:
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579
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract - #304127 |
Title:
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Bayesian Inference Based on Conditional Priors for a Bivariate Hidden Truncated Pareto(II) Model
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Author(s):
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Indranil Ghosh*+
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Companies:
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North Dakota State University
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Address:
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1445 West Gateway Circle, South, Fargo, ND, 58103, United States
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Keywords:
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Bayesian infernce ;
conditional priors ;
hidden truncation model
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Abstract:
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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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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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