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Activity Number:
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421
- Advances in Bayesian Modeling and Inferential Methods
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
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Sponsor:
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International Society for Bayesian Analysis (ISBA)
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Abstract #330584
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Presentation
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Title:
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Bayesian Generalized Smoothing Spline ANOVA with Dimension Reduction
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Author(s):
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Chin-I Cheng* and Paul Speckman
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Companies:
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Central Michigan University and University of Missouri-Columbia
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Keywords:
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smoothing spline ANOVA;
reproducing kernel;
binary response;
Poisson response;
reduce dimension
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Abstract:
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Smoothing spline ANOVA extends classical ANOVA models to model nonparametric functions with interaction effects. We generalize the model for binary and Poisson response. The suitable priors are chosen for testing all of the components in the model. The dimension reduction is adapted to facilitate the computation. The effective computation enables us to obtain the Bayes factors for variable selection easily. The methods are illustrated using real datasets.
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Authors who are presenting talks have a * after their name.
