A note on intrinsic conditional autoregressive models for disconnected graphs

Anna Freni-Sterrantino, Massimo Ventrucci, Haavard Rue

Research output: Contribution to journalArticlepeer-review

29 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 languageEnglish (US)
Pages (from-to)25-34
Number of pages10
JournalSpatial and Spatio-temporal Epidemiology
Volume26
DOIs
StatePublished - 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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