| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10508460 | Spatial and Spatio-temporal Epidemiology | 2011 | 9 Pages |
Abstract
⺠Use posterior predictive model checks to assess goodness-of-fit in Bayesian framework. ⺠Statistics based on temporal and spatio-temporal information. ⺠Spatio-temporal statistics depend on user-defined parameters. ⺠Spatio-temporal statistics are poor at detecting model misspecification. ⺠Statistics based on temporal information are best at assessing goodness-of-fit.
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Authors
A. Gardner, R. Deardon, G. Darlington,