Some recent work on multivariate Gaussian Markov random fields

In spatio-temporal disease mapping models, identifiability constraints affect PQL and INLA results

(2017) T. Goicoa et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

One-dimensional, two-dimensional, and three dimensional B-splines to specify space –time interactions in Bayesian disease mapping: Model fitting and model identifiability

(2017) M.D. Ugarte et al.   Spatial Statistics

Functional CAR Models for Large Spatially Correlated Functional Datasets

(2016) Lin Zhang et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Linear models of coregionalization for multivariate lattice data: Order-dependent and order-free cMCARs

(2016) Ying C MacNab   STATISTICAL METHODS IN MEDICAL RESEARCH

Linear models of coregionalization for multivariate lattice data: a general framework for coregionalized multivariate CAR models

(2016) Ying C. MacNab   STATISTICS IN MEDICINE

Cross-Covariance Functions for Multivariate Geostatistics

(2015) Marc G. Genton et al.   STATISTICAL SCIENCE

A unifying modeling framework for highly multivariate disease mapping

(2015) P. Botella-Rocamora et al.   STATISTICS IN MEDICINE

spam: A Sparse MatrixRPackage with Emphasis on MCMC Methods for Gaussian Markov Random Fields

(2015) Reinhard Furrer et al.   Journal of Statistical Software

A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution

(2014) Duncan Lee et al.   BIOMETRICS

A general modelling framework for multivariate disease mapping

(2013) M. A. Martinez-Beneito   BIOMETRIKA

On identification in Bayesian disease mapping and ecological–spatial regression models

(2012) Ying C MacNab   STATISTICAL METHODS IN MEDICAL RESEARCH

A spatial analysis of multivariate output from regional climate models

(2011) Stephan R. Sain et al.   Annals of Applied Statistics

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

(2011) Finn Lindgren et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Covariance Estimation: The GLM and Regularization Perspectives

(2011) Mohsen Pourahmadi   STATISTICAL SCIENCE

Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love

(2010) James S. Hodges et al.   AMERICAN STATISTICIAN

Bayesian analysis of conditional autoregressive models

(2010) Victor De Oliveira   ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

On Gaussian Markov random fields and Bayesian disease mapping

(2010) Ying C MacNab   STATISTICAL METHODS IN MEDICAL RESEARCH

Bayesian emulation of complex multi-output and dynamic computer models

(2009) Stefano Conti et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Bayesian multivariate disease mapping and ecological regression with errors in covariates: Bayesian estimation of DALYs and ‘preventable’ DALYs

(2009) Ying C. MacNab   STATISTICS IN MEDICINE

A multivariate CAR model for improving the estimation of relative risks

(2009) Fedele P. Greco et al.   STATISTICS IN MEDICINE

Modeling Longitudinal Spatial Periodontal Data: A Spatially Adaptive Model with Tools for Specifying Priors and Checking Fit

(2008) Brian J. Reich et al.   BIOMETRICS

A spatially adaptive conditional autoregressive prior for area health data

(2008) Peter Congdon   Statistical Methodology

A spatial structural equation model for health outcomes

(2007) Peter Congdon   JOURNAL OF STATISTICAL PLANNING AND INFERENCE