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Activity Number:
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658
- Biometrics Data Mining
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Type:
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Contributed
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Date/Time:
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Thursday, August 3, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract #324968
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Title:
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Detecting Changes in the Number of Modes for Circular Data
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Author(s):
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Michael Nava and Kaushik Ghosh*
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Companies:
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University of California, Santa Barbara and University of Nevada Las Vegas
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Keywords:
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Circular data ;
Changepoint ;
von Mises distribution ;
MCMC
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Abstract:
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In this paper, we study change-point problems for the number of modes in circular data. Such problems can arise in a variety of applications such as stem-cell research, meteorology, etc. We use a mixture of two circular normal distributions to model the observed data and derive tests do detect the presence and location of change-points in such data. Theoretical as-well-as empirical properties of the proposed tests are presented.
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Authors who are presenting talks have a * after their name.
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