Topic Area: This CBMS conference will feature an intensive lecture series on elastic methods for statistical analysis of functional and shape data, using tools from Riemannian geometry, Hilbert space methods, and computational science. The main focus of this conference is on geometric approaches, especially on using elastic Riemannian metrics with desired invariance properties, and square-root representations that simplify computations. These approaches allow joint registration and statistical analysis of functional data, and are termed elastic for that reason. The statistical goals include comparisons, summarization, clustering, modeling, and testing of functional and shape data. The tentative schedule of lectures is provided at https://stat.osu.edu/cbms-efsda.
Primary Lecturer: Professor Anuj Srivastava is a Professor of Statistics and a Distinguished Research Professor at Florida State University (FSU). His main expertise lies in the use of techniques from algebra and differential geometry in deriving statistical inferences on nonlinear manifolds. Specifically, along with his colleagues, he has developed comprehensive Riemannian frameworks for shape analysis of objects, including scalar functions, Euclidean curves, 2D surfaces, and neuronal trees. He is an author, along with Professor Eric Klassen from FSU, of a recently published Springer textbook on Functional and Shape Data Analysis. He has also published more than 200 papers in refereed journals and proceedings of refereed international conferences. He is a fellow of the IEEE, IAPR and ASA.
Additional Lecturers: Prof. Eric Klassen, Mathematics, Florida State University; Prof. Veera Baladandayuthapani, Biostatistics, University of Texas MD Anderson Cancer Center; Prof. Laurent Younes, Applied Mathematics and Statistics, Johns Hopkins University; Prof. Zhengwu Zhang, Biostatistics and Computational Biology, University of Rochester
Travel Support: Current PhD students and researchers within five years of the PhD degree are qualified to apply for partial travel/accommodation support. The deadline to apply for support is April 30, 2018.
Acknowledgments: We gratefully acknowledge funding and support from the National Science Foundation (NSF) CBMS grant, the Mathematics Research Institute, the Mathematical Biosciences Institute, the Department of Statistics at The Ohio State University and the NSF TRIPODS grant.