Fall 2000 Seminar Series - September 19, 2000
University of Minnesota
School of Statistics
College of Liberal Arts
Bayesian Spatial Interpolation
Benjamin Kedem
Math Department
University of Maryland, College Park
Tuesday, September 19, 2000
4:00 PM
217
Lind Hall
Minneapolis, East Bank Campus
Social at 3:30 PM,
300
Ford Hall
Abstract
Optimal statistical prediction (interpolation) in spatial random fields is an
important problem in computer imaging, epidemiology, geology, hydrology, and
meteorology, to mention a few areas. Most methods assume explicitly or
implicitly the fields are Gaussian, however geophysical data are skewed more
often than not.
We present a Bayesian method for spatial prediction/interpolation that takes
into account skewness, and compare it to kriging and trans Gaussian kriging
using real and simulated data. New software will be described.