A note on intrinsic conditional autoregressive models for disconnected graphs

Anna Freni-Sterrantino; Massimo Ventrucci; Haavard Rue

doi:10.1016/j.sste.2018.04.002

A note on intrinsic conditional autoregressive models for disconnected graphs

Anna Freni-Sterrantino, Massimo Ventrucci, Haavard Rue

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37 Scopus citations

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.

Original language	English (US)
Pages (from-to)	25-34
Number of pages	10
Journal	Spatial and Spatio-temporal Epidemiology
Volume	26
DOIs	https://doi.org/10.1016/j.sste.2018.04.002
State	Published - May 23 2018

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank Dr M. A. Vigotti (University of Pisa) for having made available the dataset from the Tuscany Atlas of Mortality 1971–1994. Massimo Ventrucci is supported by the PRIN 2015 grant project n.20154X8K23 (EPHASTAT) founded by the Italian Ministry for Education, University and Research. We can provide the code for the examples.

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10.1016/j.sste.2018.04.002

https://repository.kaust.edu.sa/bitstream/10754/626456/6/kaust-library.pdf

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title = "A note on intrinsic conditional autoregressive models for disconnected graphs",

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.",

author = "Anna Freni-Sterrantino and Massimo Ventrucci and Haavard Rue",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: We thank Dr M. A. Vigotti (University of Pisa) for having made available the dataset from the Tuscany Atlas of Mortality 1971–1994. Massimo Ventrucci is supported by the PRIN 2015 grant project n.20154X8K23 (EPHASTAT) founded by the Italian Ministry for Education, University and Research. We can provide the code for the examples.",

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doi = "10.1016/j.sste.2018.04.002",

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AU - Ventrucci, Massimo

AU - Rue, Haavard

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JO - Spatial and Spatio-temporal Epidemiology

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ER -

A note on intrinsic conditional autoregressive models for disconnected graphs

Abstract

Bibliographical note

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