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Activity Number:
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290
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Education
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| Abstract - #310105 |
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Title:
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Pig Data and Bayesian Inference on Multinomial Probabilities
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Author(s):
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John Kern*+
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Companies:
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Duquesne University
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Address:
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600 Forbes Avenue, Pittsburgh, PA, 15282,
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Keywords:
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multinomial ; Dirichlet ; posterior predictive distribution
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Abstract:
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Bayesian inference on multinomial probabilities is conducted based on data collected from the game Pass the Pigs®. Prior information on these probabilities is readily available from the instruction manual, and is easily incorporated in a Dirichlet prior. Posterior analysis of the scoring probabilities quantifies the discrepancy between empirical and prior estimates, and yields posterior predictive simulations used to compare competing extreme strategies.
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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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