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Bayes Inference for the Spatial Bilinear Time Series Model with Application to Epidemic Data
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 Title & Authors
Bayes Inference for the Spatial Bilinear Time Series Model with Application to Epidemic Data
Lee, Sung-Duck; Kim, Duk-Ki;
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 Abstract
Spatial time series data can be viewed as a set of time series simultaneously collected at a number of spatial locations. This paper studies Bayesian inferences in a spatial time bilinear model with a Gibbs sampling algorithm to overcome problems in the numerical analysis techniques of a spatial time series model. For illustration, the data set of mumps cases reported from the Korea Center for Disease Control and Prevention monthly over the years 2001~2009 are selected for analysis.
 Keywords
Spatial time series data;STARMA;STBL;Bayesian;MCMC;Gibbs sampling;Mumps data;
 Language
Korean
 Cited by
 References
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