Bayesian hierarchical modeling for bivariate multiscale spatial data with application to blood test monitoring-Reference-Cited by-同舟云学术

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Bayesian hierarchical modeling for bivariate multiscale spatial data with application to blood test monitoring

Published:2024-08 Issue: Volume:50 Page:100661
ISSN:1877-5845
Container-title:Spatial and Spatio-temporal Epidemiology
language:en
Short-container-title:Spatial and Spatio-temporal Epidemiology

Author:

Zhou Shijie^ORCID,Bradley Jonathan R.

Publisher

Elsevier BV

Reference42 articles.

1. Hierarchical Modeling and Analysis for Spatial Data;Banerjee,2015

2. Gaussian predictive process models for large spatial data sets;Banerjee;J. R. Stat. Soc. Ser. B Stat. Methodol.,2008

3. Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: An application to the American community survey;Benedetti;Ann. Appl. Stat.,2022

4. Multivariate spatio-temporal models for high-dimensional areal data with application to longitudinal employer-household dynamics;Bradley;Ann. Appl. Stat.,2015

5. Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion);Bradley;Bayesian Anal.,2018

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