Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas

On the convenience of heteroscedasticity in highly multivariate disease mapping

(2019) F. Corpas-Burgos et al.   TEST

Crime against women in India: unveiling spatial patterns and temporal trends of dowry deaths in the districts of Uttar Pradesh

(2019) G. Vicente et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster

(2018) Luigi Lombardo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Some recent work on multivariate Gaussian Markov random fields

(2018) Ying C. MacNab   TEST

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

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

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

Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models

(2016) A. Adin et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Bayesian Spatial Modelling withR-INLA

(2015) Finn Lindgren et al.   Journal of Statistical Software

A unifying modeling framework for highly multivariate disease mapping

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

Sexual violence and rape in India

(2014) Anita Raj et al.   LANCET

Gender-based violence: more research (funding) please

(2014) Zoë Mullan   Lancet Global Health

Space–time variability in burglary risk: A Bayesian spatio-temporal modelling approach

(2014) G. Li et al.   Spatial Statistics

A general modelling framework for multivariate disease mapping

(2013) M. A. Martinez-Beneito   BIOMETRIKA

A spatial analysis of multivariate output from regional climate models

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

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

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

On Gaussian Markov random fields and Bayesian disease mapping

(2010) Ying C MacNab   STATISTICAL METHODS IN MEDICAL RESEARCH

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

(2009) Håvard Rue et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY