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PSTAT236

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PSTAT 236 - Spatial Statistics

Statistics & Applied Probability College of Letters and Science

Full Course Title

Spatial Statistics

Instructor Name(s)

STAFF

Course Description

Spatial Covariance Functions, Variograms, Kriging, Gaussion Processes, Estimation Methods and Uncertainty Quantification. Stationary and Non-Stationary Models, Selected Topics from Non-Gaussion Spatial Models, Spatial Point Processes, Areal Data Models, Spatial Networks, Hierarchical Models, Spatio-Temporal Models, and Recent Advances.

Unit Value

4

Maximum number of times course can be repeated for additional credit

99

Maximum Units

99

Recommended Preparation

PSTAT 126 or equivalent; PSTAT 174/274 or equivalent.

Prerequisites

PSTAT 120A-B or equivalent; MATH 108A or equivalent; knowledge of at least one statistical programming language; or consent of instructor.