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.

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

Typically Offered
Spring, odd years

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Kansas State University

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STAT 903 - Statistical Methods for Spatial Data