We present a scheme of studying the geometry of high-dimensional data to discover patterns in it, using minimal parametric distributional assumptions. Our approach is to define multivariate quantiles and extremes, and develop a method of center-outward partial ordering of observations. We formulate methods for quantifying relationships among obs...
Creator:
Chatterjee, Singdhansu (University of Minnesota, Twin Cities)
Created:
2018-04-26
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.