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Activity Number:
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147
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 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 - #308417 |
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Title:
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Testing Equality of Several Functions
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Author(s):
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Sam Behseta*+ and Robert E. Kass
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Companies:
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California State University and Carnegie Mellon University
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Address:
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9001 Stockdale Hwy, Bakersfield, CA, 93311,
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Keywords:
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Bayesian Functional Data Analysis ; Bayesian Adaptive Regression Splines ; Likelihood Ratio Tests ; Analysis of Neuronal Data
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Abstract:
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We consider the problem of comparing several noisy functions. We propose testing procedures to perform comparisons either pointwise or globally over the entire length of functions. A simulation study of power demonstrates the strength of these tests even for moderate sample sizes. We implement these tests on a group of neurons recorded from primate frontal oculomotor cortex, first to screen for condition-related differential activity and, second, to search for neurons displaying interesting patterns that vary with condition.
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