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A Multivariate Spatial Mixture Model for Areal Data: Examining Regional Differences in Standardized Test Scores
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Modeling Disease Incidence Data with Spatial and Spatio Temporal Dirichlet Process Mixtures
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Spatial mixture relative risk models applied to disease mapping
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Skew‐elliptical spatial random effect modeling for areal data with application to mapping health utilization rates
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Finite Mixture and Markov Switching Models
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Bayesian image restoration, with two applications in spatial statistics
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Componentwise adaptation for high dimensional MCMC
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Multi-dimensional multivariate Gaussian Markov random fields with application to image processing
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Spatial latent class analysis model for spatially distributed multivariate binary data
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Non-Gaussian modeling of spatial data using scale mixing of a unified skew Gaussian process
inferredcites →https://doi.org/10.1016/j.jspi.2006.05.022openalex-snapshot
Bayesian mixture modeling for spatial Poisson process intensities, with applications to extreme value analysis
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Reversible Jump Markov Chain Monte Carlo Computation and Bayesian Model Determination
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Proper multivariate conditional autoregressive models for spatial data analysis
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Dealing With Label Switching in Mixture Models
inferredcites →https://doi.org/10.1111/1467-9868.00353openalex-snapshot
Bayesian Measures of Model Complexity and Fit
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Random-Effects Models for Migration Attractivity and Retentivity: A Bayesian Methodology
inferredcites →https://doi.org/10.1111/j.1541-0420.2005.00359.xopenalex-snapshot
Generalized Hierarchical Multivariate CAR Models for Areal Data
inferredcites →https://doi.org/10.1111/j.2517-6161.1974.tb00999.xopenalex-snapshot
Spatial Interaction and the Statistical Analysis of Lattice Systems
inferredcites →https://doi.org/10.1177/002205740606302201openalex-snapshot
Department of Public Instruction
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Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
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Hierarchical Modeling and Analysis for Spatial Data
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Hierarchical Modeling and Analysis for Spatial Data
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Deviance information criteria for missing data models
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Smoothed ANOVA with spatial effects as a competitor to MCAR in multivariate spatial smoothing
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Spatial mixture modelling for unobserved point processes: examples in immunofluorescence histology
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Geographic Variation in the Gender Differences in Test Scores
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A Constructive Definition of Dirichlet Priors
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R: A Language and Environment for Statistical Computing
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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