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Statistics Seminar| Object Oriented Data Analysis of Manifold Data

Start Date: October 19, 2017
End Date: October 19, 2017

By Distinguished Professor James Stephen Marron (University of North Carolina – Chapel Hill)
OODA ideas are applied in the challenging area of statistical analysis of populations of shapes, motivated by medical image analysis. A particular challenge is automatic segmentation in high noise, low contrast situations. This talk is a survey of a number of approaches which integrate differential geometry and Bayesian statistics, yielding powerful segmentations. A fundamental component is various approaches to extending the linear method principal component analysis to nonlinear manifolds. Backwards approaches and others are discussed and compared.
Biography: J. S. Marron is the Amos Hawley Distinguished Professor of Statistics and Operations Research, at the University of North Carolina, Chapel Hill. He received the B. S. degree from the University of California at Davis, and the Ph. D. from the University of California at Los Angeles. Marron has held the positions of Assistant, Associate and Full Professor with the University of North Carolina, Chapel Hill, and is also Professor of Biostatistics and Adjunct Professor of Computer Science and Member of the Lineberger Comprehensive Cancer Center. He was a founding Associate Director of the Statistical and Applied Mathematical Sciences Institute (SAMSI). He has also served as the Saw Swee Hock Distinguished Visiting Professor at the National University of Singapore, the Mary Upson Distinguished Professor of Operations Research at Cornell University, and held 13 other visiting positions in four countries. Marron is an elected Fellow of the American Statistical Association and the Institute for Mathematical Statistics, and an elected Member of the International Statistical Institute. Marron has served as Associate Editor for the Annals of Statistics, the Journal of the American Statistical Association, the Journal of Nonparametric Statistics, Computational Statistics, TEST and the Electronic Journal of Statistics. Marron has presented the Theory and Methods Invited Paper for the Journal of the American Statistical Association, been the Institute of Mathematical Statistics Medallion Lecturer, and presented the S. N. Roy Memorial Lecture at the University of Calcutta. He has delivered the Bradley Lecture at the University of Georgia, and the Information Science and Technology Center Distinguished Lecture at Colorado State University.

More Information:

For more info contact: Professor Marc G. Genton: email: Marc.Genton@KAUST.EDU.SA
Date: Thursday 19th Oct 2017
Time:04:00 PM - 05:00 PM
Location: Building 1, East side, level 2, MPR
Refreshments: will be served at 15:45