Abstract Details
Activity Number:
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357
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Type:
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Contributed
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Date/Time:
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Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract #316624
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View Presentation
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Title:
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Bayesian Hazard Change-Point Estimation with Incomplete Data
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Author(s):
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Deniz Yenigun* and Ulku Gurler
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Companies:
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Istanbul Bilgi University and Bilkent University
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Keywords:
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hazard function ;
change-point ;
left truncated right censored data ;
Bayesian statistics
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Abstract:
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Hazard function is a fundamental tool in reliability and survival studies. Sometimes abrupt changes may be observed in the hazard function and there is a need for understanding the structure of this change. In this study we first focus on piecewise constant hazard functions with a single change-point when the observations are subject to truncation and censoring. From a Bayesian perspective, we discuss a method for estimating the time and size of the change. We then consider extending this work for piecewise linear hazard functions with a single change-point. The performance of the proposed estimation method is illustrated with a numerical study. Our results indicate that the Bayesian method performs well, and in some cases it may outperform the maximum likelihood method considered as a benchmark. An application to a real data set is also considered.
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Authors who are presenting talks have a * after their name.
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