STAT 903 - Statistical Methods for Spatial Data

Credits: 3

Theoretical development of modeling and inference techniques for spatially and/or temporally referenced data, including geostatistical data, lattice data and spatial point patterns; methodology for autocorrelation estimation and prediction; nonstationary spatial processes; asymptotics and computational methods for large spatial datasets; computer-aided applications.

Repeat for Credit
Y

Requisites
Prerequisite: STAT 771, plus one introductory course in statistical computing (e.g. STAT 726 or equivalent background).

Typically Offered
Spring-Odd Years

Kansas State University

Course Catalog

STAT 903 - Statistical Methods for Spatial Data