This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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165
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #309268 |
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Title:
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Computational Issues in Bayesian Design of Life Tests
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Author(s):
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Refik Soyer*+
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Companies:
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The George Washington University
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Address:
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, , ,
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Keywords:
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Bayesian design ;
Monte Carlo ;
Decision theory ;
Particle filtering
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Abstract:
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In this paper we consider a Bayesian decision theoretic setup for optimal design of life tests. In so doing, we discuss difficulties in evaluating preposterior losses in adopting the Bayesian framework and present simulation-based design algorithms. More specifically, we provide a particle-based approach to design of life tests and illustrate the implementation of the approach in one and two stage problems.
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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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