In this note we discuss (Gaussian) intrinsic conditional autoregressive (CAR) models for disconnected graphs, with the aim of providing practical guidelines for how these models should be defined, scaled and implemented. We show how these suggestions can be implemented in two examples, on disease mapping.
Freni-Sterrantino A, V.M. (2018). A note on intrinsic conditional autoregressive models for disconnected graphs. SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY, 26, 25-34 [10.1016/j.sste.2018.04.002].
A note on intrinsic conditional autoregressive models for disconnected graphs
Ventrucci M;
2018
Abstract
In this note we discuss (Gaussian) intrinsic conditional autoregressive (CAR) models for disconnected graphs, with the aim of providing practical guidelines for how these models should be defined, scaled and implemented. We show how these suggestions can be implemented in two examples, on disease mapping.File in questo prodotto:
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