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Activity Number:
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290
- Advanced Bayesian Topics (Part 3)
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Type:
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Contributed
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Date/Time:
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Wednesday, August 11, 2021 : 1:30 PM to 3:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract #318380
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Title:
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Bayesian Functional Partial Membership Model
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Author(s):
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Nicholas Marco* and donatello telesca
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Companies:
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University of California, Los Angeles and UCLA
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Keywords:
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Partial;
Clusters;
Bayesian;
Functional;
Membership
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Abstract:
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We propose a model which allows for each observation to partially belong to multiple clusters. In this model, we assume that each observation is functional. We assume an additive model with respect to the cluster membership. In order to reduce the number of parameters, we use a covariance function that is inspired by Multivariate Functional Principal Component Analysis.
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Authors who are presenting talks have a * after their name.
