High-dimensional order-free multivariate spatial disease mapping

Big problems in spatio-temporal disease mapping: methods and software

(2023) Erick Orozco-Acosta et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A new avenue for Bayesian inference with INLA

(2023) Janet Van Niekerk et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Bayesian disease mapping: Past, present, and future

(2022) Ying C. MacNab   Spatial Statistics

Scalable Bayesian modelling for smoothing disease risks in large spatial data sets using INLA

(2021) Erick Orozco-Acosta et al.   Spatial Statistics

On the relationship between Uhlig extended and beta‐Bartlett processes

(2021) Víctor Peña et al.   JOURNAL OF TIME SERIES ANALYSIS

Multivariate Bayesian spatio-temporal P-spline models to analyze crimes against women

(2021) Gonzalo Vicente et al.   BIOSTATISTICS

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

(2020) G. Vicente et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A General Framework for Vecchia Approximations of Gaussian Processes

(2020) Matthias Katzfuss et al.   STATISTICAL SCIENCE

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

Some recent work on multivariate Gaussian Markov random fields

(2018) Ying C. MacNab   TEST

A Multi-Resolution Approximation for Massive Spatial Datasets

(2017) Matthias Katzfuss   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

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

An intuitive Bayesian spatial model for disease mapping that accounts for scaling

(2016) Andrea Riebler et al.   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

A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets

(2015) Douglas Nychka et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

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

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

Understanding predictive information criteria for Bayesian models

(2013) Andrew Gelman et al.   STATISTICS AND COMPUTING

Comparing CAR and P-spline models in spatial disease mapping

(2012) T. Goicoa et al.   ENVIRONMENTAL AND ECOLOGICAL STATISTICS

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

Fixed rank kriging for very large spatial data sets

(2010) Noel Cressie et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

On Bayesian shared component disease mapping and ecological regression with errors in covariates

(2010) Ying C. MacNab   STATISTICS IN MEDICINE

Spatio-temporal modeling of mortality risks using penalized splines

(2009) M. D. Ugarte et al.   ENVIRONMETRICS

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