Northwestern University

Oct
18
Wed 11:00 AM

Q-Center Colloquium & Statistics Seminar Series: CompareML: Structuring Machine Learning Research in Data Driven Science

When: Wednesday, October 18, 2017
11:00 AM - 12:00 PM  

Where: 617 Library Place, Evanston, IL 60208 map it

Audience: Faculty/Staff - Student - Post Docs/Docs - Graduate Students

Cost: Free

Contact: Kisa Kowal   847.491.3974

Group: Department of Statistics

Category: Academic

More Info

Description:

Time: 11:00 a.m.

Speaker: Victoria Stodden, Associate Professor, University of Illinois at Urbana-Champaign

Place: 617 Library Place

Abstract: Statistical discovery is increasingly taking place using data not collected by the discoverers and often completely in silico. This calls on new considerations of methods and computational infrastructure that support statistical pipelines. In this talk I present a novel framework for statistical analysis of "organic data" as opposed to "designed data" (Kreuter & Peng 2014) called CompareML that permits the direct comparison of findings that purport to answer the same statistical question. I will illustrate that such computational frameworks are crucial to reproducible science by way of an example from genomics [acute leukemia (Golub et al 1999)] where traditional approaches (surprisingly) fail at scale.

Co-sponsored with IPR

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