Red Raider Mini-Symposium 2005: Geometry and Statistics and Image Analysis

Texas Tech University, Lubbock TX

Investigators

Abstract

Red Raider Mini-Symposium, November 17-19, 2005 : "Geometry, Statistics and Image Analysis" focuses on nonparametric statistics on manifolds, analyzes on shape spaces, saddlepoint approximations and systems theory leading to frontiers of science in medical imaging, system reliability, survival analysis, pattern recognition and bioinformatics. Principal speakers are Rudy Beran, University of California Davis, internationally renowned for his contributions to robust statistics, directional data analysis, and bootstrapping; Rabindra Bhattacharya, University of Arizona, internationally renowned for his contributions to large sample theory, Edgeworth expansions and bootstrapping, statistics on manifolds and stochastic partial differential equations; Ronald Butler, Colorado State University, internationally renowned for his contributions to saddlepoint methods, systems theory and stochastic networks, special function approximations, robustness and likelihood inference; John Kent, University of Leeds, United Kingdom, internationally renowned for his contributions to multivariate statistics, shape analysis and stochastic models for protein structure, robustness, spatial statistics, tomography; Peter Kim, University of Guelph, Canada, internationally renowned for his contributions to the interface between geometry and statistics, density estimation on Riemannian manifolds and applications of statistics to image acquisition, Madan Puri, Indiana University, internationally renowned for his contributions to nonparametric statistics, splines, tests of normality, fuzzy sets and measures, stochastic processes, statistics of directional data, random sets, and time series and Anuj Srivastava, nationally renowned for his contributions to "image understanding" which aims to develop automated systems that can match human abilities in analyzing images. This symposium is conceived to bring together outstanding researchers working in the interface of geometry, statistics and image analysis and consists of a series of lectures by outstanding scholars in vibrant areas of mathematics and statistics, with important applications in astronomy and geophysics, homeland security, medical imaging, computer vision and pattern recognition. These lectures provide an opportunity to learn about new research venues for the members of the statistical community, especially early career researchers and graduate students including women and under represented minorities. This mini-symposium provides a perfect medium for interaction and collaboration between the conference participants and the distinguished speakers. It will be very helpful for shaping future directions of statistical research that address problems of high societal impact.