Journal Article

A note on intrinsic conditional autoregressive models for disconnected graphs

Spatial and Spatio-temporal Epidemiology (2018) 26 25-34
DOI: 10.1016/j.sste.2018.04.002
44Citations
Citations of this article
55Readers
Mendeley users who have this article in their library.
Get full text

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 supplied keywords

Cite

CITATION STYLE

APA

Freni-Sterrantino, A., Ventrucci, M., & Rue, H. (2018). A note on intrinsic conditional autoregressive models for disconnected graphs. Spatial and Spatio-Temporal Epidemiology, 26, 25–34. https://doi.org/10.1016/j.sste.2018.04.002

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free