American Statistical Association
New York City
Metropolitan Area Chapter

Levin Lecture Series: Spring 2019 Colloquium Seminars
Department of Biostatistics
Mailman School of Public Health
Columbia University



OBJECT ORIENTED DATA ANALYSIS

by

Steve Marron
Amos Hawley Distinguished Professor
Department of Statistics
University of North Carolina

Host: Dr. Gen Li


Abstract

Object Oriented Data Analysis is the statistical analysis of populations of complex objects. In the special case of Functional Data Analysis, these data objects are curves, where standard Euclidean approaches, such as principal components analysis, have been very successful. In non-Euclidean analysis, the approach of Backwards PCA is seen to be quite useful. An overview of insightful mathematical statistics for object data is given, based on High Dimension Low Sample Size asymptotics, where the dimension grows, but the sample size is fixed.


Date: Wednesday, March 6, 2019
Time: 11:45 A.M. - 12:45 P.M.
Location: Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
AR Building
8th Floor Auditorium
New York, New York

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