SPATIAL STATISTICS

STA 944

Modeling data with spatial structure; point-referenced (geo-statistical)data, areal (lattice) data, and point process data; stationarity, valid covariance functions; Gaussian processes and generalizations; kriging; Markov random fields (CAR and SAR); hierarchical modeling for spatial data; misalignment; multivariate spatial data, space/time data specification. Theory and application. Some assignments will involve computing and data analysis. Consent of instructor required. Instructor: Gelfand

Day / Time: 

TuTh 03:05 PM-04:20 PM

Location: 

Old Chem 003

Instructor: 

Gelfand, Alan

Section: 

01