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November 2020

Valid hypothesis testing after hierarchical clustering

Daniela Witten - University of Washington

November 6 @ 11:00 am - 12:00 pm
online

Abstract:  As datasets continue to grow in size, in many settings the focus of data collection has shifted away from testing pre-specified hypotheses, and towards hypothesis generation. Researchers are often interested in performing an exploratory data analysis in order to generate hypotheses, and then testing those hypotheses on the same data; I will refer to this as 'double dipping'. Unfortunately, double dipping can lead to highly-inflated Type 1 errors. In this talk, I will consider the special case of hierarchical…

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Sharp Thresholds for Random Subspaces, and Applications

Mary Wootters - Stanford University

November 13 @ 11:00 am - 12:00 pm
online

Abstract: What combinatorial properties are likely to be satisfied by a random subspace over a finite field? For example, is it likely that not too many points lie in any Hamming ball? What about any cube?  We show that there is a sharp threshold on the dimension of the subspace at which the answers to these questions change from "extremely likely" to "extremely unlikely," and moreover we give a simple characterization of this threshold for different properties. Our motivation comes…

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TBD

Arnaud Doucet - University of Oxford

November 20 @ 11:00 am - 12:00 pm
online

TBD

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December 2020

TBD

Rong Ge - Duke University

December 4 @ 11:00 am - 12:00 pm
online

TBD

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