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Biological Statistics & Computational Biology Seminar

Monday, April 16, 2018 at 11:00am to 12:00pm

Weill Hall, 226

Bundling data from related testing units, and other tools for high-dimensional inference

Contemporary applications of statistics continue to fuel research in methodologies for high-dimensional hypothesis testing.  One approach to increase the amount of data (and thus power) for a unit on test is to merge data from other units having similar data characteristics.  I will present one version of this approach in the context where units are associated with nodes of an undirected graph; I will present findings on the sampling properties of the test statistics, and preliminary numerical results. Time permitting I will also discuss empirical Bayes approaches to testing and ranking effects.

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Dept. of Biological Statistics and Computational Biology, CALS





Contact E-Mail

Contact Name

Sue Bishop

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Michael Newton

Speaker Affiliation

University of Wisconsin - Madison

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Cornell community

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