Generalized Hierarchical Multivariate CAR Models for Areal Data

No abstract is available for this paper.

• Publication year

  2005

• Venue

  Biometrics

• Publication date

  2005-12-01

• Fields of study

  Medicine, Mathematics, Environmental Science, Computer Science

• Identifiers
  DOI 10.1111/j.1541-0420.2005.00359.xPMID 16401268
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Towards joint disease mapping

  2005influential reference
• Towards Joint Disease

  2005cited by this paper
• A bivariate Poisson count data model using conditional probabilities

  2004cited by this paper
• A close look at the spatial structure implied by the CAR and SAR models

  2004cited by this paper
• A bivariate Poisson count data model using conditional probabilities

  2004cited by this paper
• Nonstationary multivariate process modeling through spatially varying coregionalization

  2004cited by this paper
• A Bayesian coregionalization approach for multivariate pollutant data

  2003cited by this paper
• Proper multivariate conditional autoregressive models for spatial data analysis.

  2003influential reference
• Hierarchical Modeling and Analysis for Spatial Data

  2003influential reference
• Multivariate Lattice Models for Spatial Environmental Data

  2002cited by this paper
• Bayesian measures of model complexity and fit

  2002influential reference
• A Bivariate Bayes Method for Improving the Estimates of Mortality Rates With a Twofold Conditional Autoregressive Model

  2001influential reference
• A hierarchical approach to multivariate spatial modeling and prediction

  1999influential reference
• Matrix Algebra From a Statistician's Perspective

  1998cited by this paper
• Natural variability of benthic species composition in the Delaware Bay

  1997cited by this paper
• Bayes and Empirical Bayes Methods for Data Analysis

  1997influential reference
• Efficient parametrisations for normal linear mixed models

  1995cited by this paper
• Statistics for Spatial Data, Revised Edition.

  1994cited by this paper
• Bayesian image restoration, with two applications in spatial statistics

  1991cited by this paper
• Sampling-Based Approaches to Calculating Marginal Densities

  1990influential reference
• Multi-dimensional multivariate Gaussian Markov random fields with application to image processing

  1988influential reference
• Spatial Interaction and the Statistical Analysis of Lattice Systems

  1974influential reference

• Spatial downscaling of multivariate disease risk

  2026cites this paper
• Global-local shrinkage priors for modeling random effects in multivariate spatial small area estimation

  2026cites this paper
• A Bayesian latent Gaussian conditional autoregressive copula model for analyzing spatially-varying trends in rainfall

  2025cites this paper
• Small Area Estimation Methods for Multivariate Health and Demographic Outcomes using Complex Survey Data

  2025cites this paper
• Variational Autoencoded Multivariate Spatial Fay-Herriot Models

  2025influential citation
• Integrated estimation of the spatial population density surface using semi‐continuous sampling data

  2025cites this paper
• Hierarchical Bayesian bivariate spatial modeling of small area proportions with application to health survey data

  2025influential citation
• A concordance coefficient for lattice data: An application to poverty indices in Chile

  2025influential citation
• INLAomics for Scalable and Interpretable Spatial Multiomic Data Integration

  2025influential citation
• Multivariate Disaggregation Modeling of Air Pollutants: A Case-Study of PM2.5, PM10 and Ozone Prediction in Portugal and Italy

  2025cites this paper
• A poisson cokriging modeling of mosquito-borne diseases in Colombia

  2025cites this paper
• Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers

  2024cites this paper
• Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach

  2024cites this paper
• A Bayesian spatio-temporal Poisson auto-regressive model for the disease infection rate: application to COVID-19 cases in England

  2024cites this paper
• A dimension reduction approach to edge weight estimation for use in spatial models

  2024cites this paper
• An exploratory analysis of the impact of area-level exposome on geographic disparities in aggressive prostate cancer

  2024cites this paper
• Multivariate skew-normal distribution for modelling skewed spatial data.

  2024cites this paper
• Multivariate Poisson cokriging: A geostatistical model for health count data

  2024cites this paper
• Modeling Multivariate Spatial Dependencies Using Graphical Models.

  2023cites this paper
• A Bayesian Spatio-Temporal Extension to Poisson Auto-Regression: Modeling the Disease Infection Rate of COVID-19 in England

  2023cites this paper
• A Bayesian approach to identify changepoints in spatio-temporal ordered categorical data: An application to COVID-19 data (preprint)

  2023cites this paper
• Detecting Spatial Health Disparities Using Disease Maps

  2023cites this paper
• Flexible hierarchical risk modeling for large insurance data via NumPyro

  2023cites this paper
• Spatial and Spatio-temporal Epidemiology

  2023cites this paper
• A multivariate spatio-temporal model for the incidence of imported COVID-19 cases and COVID-19 deaths in Cuba

  2023cites this paper
• Bayesian modeling of clustered competing risks survival times with spatial random effects

  2023cites this paper
• Estimation of wind turbine responses with attention-based neural network incorporating environmental uncertainties

  2023cites this paper
• A SPATIALLY VARYING HIERARCHICAL RANDOM EFFECTS MODEL FOR LONGITUDINAL MACULAR STRUCTURAL DATA IN GLAUCOMA PATIENTS.

  2023cites this paper
• Bayesian transformation model for spatial partly interval-censored data

  2023cites this paper
• Objective Bayesian Model Selection for Spatial Hierarchical Models with Intrinsic Conditional Autoregressive Priors

  2023cites this paper
• Disparities in Cutaneous T-Cell Lymphoma Incidence by Race/Ethnicity and Area-Based Socioeconomic Status

  2023cites this paper
• A graphical framework for interpretable correlation matrix models for multivariate regression

  2023cites this paper
• Bivariate spatial clustering in differential time trends of related tropical diseases: Application to diarrhea and intestinal parasite infections

  2023cites this paper
• Extended Laplace approximation for self-exciting spatio-temporal models of count data

  2023cites this paper
• A Bayesian model for multivariate discrete data using spatial and expert information with application to inferring building attributes

  2023cites this paper
• Spatial Difference Boundary Detection for Multiple Outcomes Using Bayesian Disease Mapping.

  2022cites this paper
• Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru

  2022cites this paper
• Forecasting short-term defaults of firms in a commercial network via Bayesian spatial and spatio-temporal methods

  2022cites this paper
• Jointly modeling bus and taxi ridership: A Bayesian multivariate spatial analysis accounting for cross‐ridership correlation

  2022cites this paper
• Bayesian Models for Multivariate Difference Boundary Detection in Areal Data

  2022cites this paper
• Non‐separable spatio‐temporal models via transformed multivariate Gaussian Markov random fields

  2022cites this paper
• Incorporating spatial structure into inclusion probabilities for Bayesian variable selection in generalized linear models with the spike-and-slab elastic net.

  2022cites this paper
• A zero-inflated mixture spatially varying coefficient modeling of cholera incidences

  2022cites this paper
• Bayesian Hierarchical Models For Multi-type Survey Data Using Spatially Correlated Covariates Measured With Error

  2022cites this paper
• Structure Induced by a Multiple Membership Transformation on the Conditional Autoregressive Model

  2022influential citation
• Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping

  2021cites this paper
• Indirect Area Estimates of Disease Prevalence: Bayesian Evidence Synthesis with an Application to Coronary Heart Disease

  2021cites this paper
• Contamination mapping in Bangladesh using a multivariate spatial Bayesian model for left-censored data

  2021cites this paper
• Joint analysis of longitudinal measurements and spatially clustered competing risks HIV/AIDS data

  2021cites this paper
• Bayesian spatio-temporal modelling and prediction of areal demands for ambulance services

  2021cites this paper
• Extending coverage and thematic resolution of compositional land cover maps in a hierarchical Bayesian framework.

  2021cites this paper
• Dynamic multiscale spatiotemporal models for multivariate Gaussian data

  2021cites this paper
• Enhancement of Multimodal Traffic Safety in High-Quality Transit Areas

  2021cites this paper
• Regression analysis for multivariate process data of counts using convolved Gaussian processes

  2020cites this paper
• The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures

  2020cites this paper
• A spatial community regression approach to exploratory analysis of ecological data

  2020cites this paper
• Modeling of spatio-temporally clustered survival HIV/AIDS data in the presence of competing risks setting

  2020cites this paper
• Residential Mobility and Geospatial Disparities in Colon Cancer Survival

  2020cites this paper
• Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution

  2020cites this paper
• Liver Cancer Incidence and Area-Level Geographic Disparities in Pennsylvania—A Geo-Additive Approach

  2020cites this paper
• Modeling the Social and Spatial Proximity of Crime: Domestic and Sexual Violence Across Neighborhoods

  2020cites this paper
• Non-Separable Spatio-temporal Models via Transformed Gaussian Markov Random Fields.

  2020cites this paper
• Population distribution over time: modelling local spatial dependence with a CAR process

  2020cites this paper
• Bayesian modelling for spatially misaligned health areal data: A multiple membership approach

  2020cites this paper
• Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas

  2020cites this paper
• Joint spatial mapping of childhood anemia and malnutrition in sub-Saharan Africa: a cross-sectional study of small-scale geographical disparities

  2019cites this paper
• Spatial modeling for correlated cancers using bivariate directed graphs

  2019cites this paper
• Spatial generalized linear mixed models in small area estimation

  2019cites this paper
• On the identification of mortality hotspots in linear infrastructures

  2019cites this paper
• Combining heterogeneous spatial datasets with process-based spatial fusion models: A unifying framework

  2019cites this paper
• M E ] 2 0 Ju l 2 01 9 Graph-based Multivariate Conditional Autoregressive Models

  2019cites this paper
• Bayesian joint spatio-temporal analysis of multiple diseases

  2019cites this paper
• A Bayesian spatial model for imaging genetics

  2019cites this paper
• Spatially varying age-period-cohort analysis with application to US mortality, 2002-2016.

  2019cites this paper
• Análise de dados de área para caracterização da incidência de delitos no município do Rio de Janeiro

  2019cites this paper
• A Sparse Areal Mixed Model for Multivariate Outcomes, with an Application to Zero-Inflated Census Data

  2019cites this paper
• Wild Chinook salmon productivity is negatively related to seal density and not related to hatchery releases in the Pacific Northwest

  2019cites this paper
• Crime Risk Maps: A Multivariate Spatial Analysis of Crime Data

  2018cites this paper
• Bayesian Spectral Modeling for Multivariate Spatial Distributions of Elemental Concentrations in Soil

  2018cites this paper
• A spatially varying change points model for monitoring glaucoma progression using visual field data.

  2018cites this paper
• Fitting spatial regressions to large datasets using unilateral approximations

  2018cites this paper
• CENSORED COUNT DATA ANALYSIS – STATISTICAL TECHNIQUES AND APPLICATIONS

  2018cites this paper
• Statistical classification of multivariate conditionally autoregressive Gaussian random field observations

  2018cites this paper
• Spatio-Temporal Models for Big Multinomial Data using the Conditional Multivariate Logit-Beta Distribution

  2018cites this paper
• Selection and assessment of bivariate Markov random field models

  2018influential citation
• Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis

  2018cites this paper
• Some recent work on multivariate Gaussian Markov random fields

  2018cites this paper
• On the effects of spatial relationships in spatial compositional multivariate models

  2018cites this paper
• Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution

  2018cites this paper
• Analysis Dengue Fever and Malaria Cases using Generalized Multivariate Conditional Autoregressive Model

  2018cites this paper
• On the effects of spatial relationships in spatial compositional multivariate models

  2018cites this paper
• A class of spatially correlated self-exciting statistical models

  2018cites this paper
• A spatio-temporal modeling framework for weather radar image data in tropical Southeast Asia

  2018cites this paper
• Space-Time Statistical Insights about Geographic Variation in Lung Cancer Incidence Rates: Florida, USA, 2000–2011

  2018cites this paper
• MULTILEVEL SPATIAL BEHAVIOUR IN BINARY-MARK MUSCLE FIBRE CONFIGURATIONS By

  2018cites this paper
• Conditionally autoregressive models improve occupancy analyses of autocorrelated data: An example with environmental DNA

  2018cites this paper
• Joint modelling of brain cancer incidence and mortality using Bayesian age- and gender-specific shared component models

  2018cites this paper
• Efficient likelihood computations for some multivariate Gaussian Markov random fields

  2018cites this paper
• A Spatially Correlated Auto-regressive Model for Count Data

  2018cites this paper
• Spatial and Temporal Modelling of Hoki Distribution using Gaussian Markov Random Fields

  2017cites this paper