STAT 6606: Advanced Methods for Spatial Data
Credits: 3. Contact Hours: Lecture 3.
Prereq: STAT 5543 and STAT 5606
Consideration of advanced topics in spatial statistics, including areas of recent development in modern spatial statistics. Topics may include spatial sampling design; spatial Markov random fields; non-Gaussian spatial models, including spatial generalized linear mixed effects model; spatial Bayesian hierarchical models, simulation of random fields; spatial-temporal process models; non-stationary process models; multivariate spatial process models; spectral methods for spatial data; computational methods for large spatial data, spatial models for stream networks. Use of R to analyze various real spatial data. Offered irregularly.
(Typically Offered: Fall)