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Activity Number:
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212
- Selective Inference
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Type:
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Invited
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Date/Time:
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Monday, July 31, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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Abstract #325510
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Title:
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Selective Inference in hierarchical high dimensional data analysis
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Author(s):
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Yoav Benjamini*
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Companies:
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Tel-Aviv University
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Keywords:
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Abstract:
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The need for selective inference in the analysis of complex problems with hierarchical structure will be presented by examples in Genomics and Brain research. I shall review the basic framework developed with Yekutieli, and our recent contributions to the area with Bogomolov, Peterson and Sabatti. A crucial step in the hierarchical framework is testing the intersection hypothesis of no signal in any of the hypotheses branching from a node. Current work with Frostig offers a solution when two groups are compared at a node on many highly-correlated dimensions.
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Authors who are presenting talks have a * after their name.
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