SPATIO-TEMPORAL MODELING

STA 444

Introduction to Bayesian modeling for data with spatial and/or time dependence. Exploratory analysis of spatial (point referenced and areal) and time series data. Gaussian processes and generalizations. Extending hierarchical Bayesian linear models and generalized linear models. Spatial models: CAR, SAR, kriging and time series models: ARM, ARMA, dynamic linear models. Computational methods for model fitting and diagnostics. Instructor: Rundel

Day / Time: 

F 11:45 AM-01:00 PM

Location: 

Perkins 070

Instructor: 

Rundel, Colin

Section: 

01L