A Bayesian multistage spatio‐temporally dependent model for spatial clustering and variable selection

DOI10.1002/SIM.9889MaRDI QIDQ6189840

Man-Lai Tang, Ke-ming Yu, Mao-Zai Tian, Unnamed Author, Jian-Xin Pan, Wolfgang Karl Härdle

Publication date: 4 March 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

variable selectionBayesian hierarchical modelspatial clusteringspatio-temporal modelingspatial confounding problem

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Unnamed Item
• Unnamed Item
• Bayesian 2-stage space-time mixture modeling with spatial misalignment of the exposure in small area health data
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Optimal predictive model selection.
• Bayesian local influence for spatial autoregressive models with heteroscedasticity
• A Spatial Dirichlet Process Mixture Model for Clustering Population Genetics Data
• Bayesian Density Estimation and Inference Using Mixtures
• Quantile regression for general spatial panel data models with fixed effects
• Evaluation of Bayesian multiple stage estimation under spatial CAR model variants
• Bayesian regression with spatiotemporal varying coefficients
• Effects of Residual Smoothing on the Posterior of the Fixed Effects in Disease‐Mapping Models
• Proper multivariate conditional autoregressive models for spatial data analysis
• Deviance information criteria for missing data models

This page was built for publication: A Bayesian multistage spatio‐temporally dependent model for spatial clustering and variable selection