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Activity Number:
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477
- Bayesian Methods for High-Dimensional Inference
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Type:
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Invited
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Date/Time:
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Wednesday, August 2, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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IMS
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Abstract #325029
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Title:
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Clustering High-Dimensional Data Using Summary Statistics
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Author(s):
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Valen Johnson*
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Companies:
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Texas A&M University
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Keywords:
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Abstract:
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We describe a method for clustering high dimensional data that exploits structure in cross-product matrices. Selection of cluster configurations is accomplished using Bayes factors based on F statistics.
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Authors who are presenting talks have a * after their name.
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