Description

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This workshop is for researchers in Statistics / Data Science who invent methods for tackling complex data. The foundation is Object Oriented Data Analysis, which is a framework for approaching complex data in a principled and interdisciplinary way that is focused on actual analysis. A key concept is data objects, a generalization of the classical vectors as experimental units. This is based on the fundamental observation that collaborative discussion of the question “what should be the data objects?” provides a fundamental approach to getting a handle on a complex interdisciplinary data analysis challenge. Motivating data challenges come from the health sciences, and methodologies span many mathematical areas including analysis, probability, geometry and topology.

Organizers

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I L D
Ian L. Dryden Florida International University
S K
Sebastian Kurtek Ohio State University
J S M
J. S. Marron University of North Carolina
R T O
R. Todd Ogden Columbia University
D O
Daniel Osborne Daniel Osborne
M O
Megan Owen Lehman College, City University of New York
S L S
Sean L. Simpson Wake Forest University School of Medicine

Registration

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IMSI is committed to making all of our programs and events inclusive and accessible. Contact to request accommodations.

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