This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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601
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Type:
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Invited
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Date/Time:
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Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Computing
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Abstract - #306025 |
Title:
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Asymptotic Theory for Q-Learning with Support Vector Regression Under Right Censoring
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Author(s):
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Yair Goldberg*+ and Michael Kosorok and Donglin Zeng and Yufan Zhao
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Companies:
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The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and Amgen Inc.
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Address:
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, , ,
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Keywords:
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Q-learning ;
right-censored data ;
survival analysis
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Abstract:
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We develop a methodology for Q-learning when the total reward is a right-censored survival time. The approach involves an adaptation of support vector regression applicable to right-censored outcomes. We established consistency and finite sample upper bounds. This research question has implications in the design of personalized medicine trials in cancer and in other life-threatening diseases.
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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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