A simulation comparison on spatial Poisson mixed models

DOI10.1080/03610918.2016.1202268zbMath1462.62317OpenAlexW2489737049MaRDI QIDQ4638817

S. Reza H. Shojaei, Y. Waghei, Mohsen Mohammadzadeh

Publication date: 30 April 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1202268

zbMATH Keywords

maximum likelihood estimationMCMC algorithmsgeneralized linear mixed modelspatial count data

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Generalized linear models (logistic models) (62J12)

Cites Work

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• Model-based geostatistics.
• Interpolation of spatial data. Some theory for kriging
• Modeling Poisson variables with positive spatial dependence
• On Estimation and Prediction for Spatial Generalized Linear Mixed Models
• Bayesian Prediction of Spatial Count Data Using Generalized Linear Mixed Models
• Model-Based Geostatistics
• A Latent Process Regression Model for Spatially Correlated Count Data
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• On autocorrelation in a Poisson regression model

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