Spat Spatiotemporal Epidemiol - A multivariate CAR model for mismatched lattices.

Tópicos

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{ data(1737) use(1416) pattern(1282) }
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{ framework(1458) process(801) describ(734) }
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Resumo

In this paper, we develop a multivariate Gaussian conditional autoregressive model for use on mismatched lattices. Most current multivariate CAR models are designed for each multivariate outcome to utilize the same lattice structure. In many applications, a change of basis will allow different lattices to be utilized, but this is not always the case, because a change of basis is not always desirable or even possible. Our multivariate CAR model allows each outcome to have a different neighborhood structure which can utilize different lattices for each structure. The model is applied in two real data analysis. The first is a Bayesian learning example in mapping the 2006 Iowa Mumps epidemic, which demonstrates the importance of utilizing multiple channels of infection flow in mapping infectious diseases. The second is a multivariate analysis of poverty levels and educational attainment in the American Community Survey.

Resumo Limpo

paper develop multivari gaussian condit autoregress model use mismatch lattic current multivari car model design multivari outcom util lattic structur mani applic chang basi will allow differ lattic util alway case chang basi alway desir even possibl multivari car model allow outcom differ neighborhood structur can util differ lattic structur model appli two real data analysi first bayesian learn exampl map iowa mump epidem demonstr import util multipl channel infect flow map infecti diseas second multivari analysi poverti level educ attain american communiti survey

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