Dynamic Bayesian models for modelling environmental space-time fields

Dynamic Bayesian models for modelling environmental space-time fields

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This thesis addresses spatial interpolation and temporal prediction using air pollution data by several space-time modelling approaches. Firstly, we implement the dynamic linear modelling (DLM) approach in spatial interpolation and find various potential problems with that approach. We develop softw...

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Bibliographic Details
Main Author: Dou, Yiping
Format: Others
Language:English
Published: University of British Columbia 2008
Subjects:
Bayesian hierarchical modelling
Kalman filter
Dynamic linear modelling
Bayesian spatial prediction
MCMC algorithm
Gibbs sampling
Wishart distributions
Forward filtering
Backward sampling
Bayesian empirical orthogonal functions
Bayesian spatial prediction methods
Online Access:http://hdl.handle.net/2429/634

Internet

http://hdl.handle.net/2429/634

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