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Abstract Details
Activity Number:
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31
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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Abstract - #304935 |
Title:
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A New Class of Flexible Link Functions with Application to Species Co-Occurrence Study
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Author(s):
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Xun Jiang*+ and Dipak K Dey
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Companies:
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University of Connecticut and University of Connecticut
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Address:
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215 Glenbrook Road U-4120, Storrs, CT, 06269, United States
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Keywords:
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Bayesian ;
Generalized Linear Model ;
MCMC ;
Model Selection ;
Power Link function
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Abstract:
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Summary: In this paper, we propose a new family of flexible link functions for modeling binary response data. By introducing a power parameter into the cdf corresponding to a symmetric link function, greater flexibility in skewness can be achieved in both positive as well as negative directions. Through simulated data sets, we show the proposed link function performs better fitting against link misspecification than existing standard link functions by allowing data to determine the direction and magnitude of skewness. Finally, we present the Protea species co-occurrence data from Cape Florist Region of South Africa as an illustrative example to demonstrate the effectiveness of the proposed link functions.
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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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