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A shared neighbor conditional autoregressive model for small area spatial data
Author(s) -
Lawson A.B.,
Rotejanaprasert C.,
Moraga P.,
Choi J.
Publication year - 2015
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.2346
Subject(s) - autoregressive model , computer science , flexibility (engineering) , spatial econometrics , star model , spatial analysis , econometrics , data mining , autoregressive integrated moving average , statistics , machine learning , time series , mathematics
The use of conditional autoregressive (CAR) models for spatial effects is commonplace, especially when dealing with aggregated count data in health studies. CAR models are convenient and relatively easy to implement but suffer from the fact that they have limited flexibility in modeling correlation. We introduce a new CAR model that can accommodate different neighborhood features (including shared neighbors). Further, we examine via simulation how this model performs in comparison with standard CAR models. We also consider the application to a small area health data example. Copyright © 2015 John Wiley & Sons, Ltd.