INFT 877/CSI 877 Geometric Methods in Statistics
(3:3:0).
Prerequisites: STAT 751 or permission of instructor. Modern multivariate
statistical methods including visualization of multivariable data rely on
geometric insight and methods. Course develops the foundations of geometric
methods for statistics. Topics include n-dimension Euclidian geometry,
projective geometry, differential geometry including curves, surfaces, and
n-dimensional differentiable manifolds, and computational geometry including
computation of convex hulls, tessellations of 2-, 3-, and n-dimensional spaces
and finite element grid generation. Examples include applications to
scientific visualization.
Taught by E. Wegman
Syllabus Available from E. Wegman
Lecture Notes Available from E. Wegman with
(No images, .4M) and with
(Images, 5.2M).