Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models without Numerical Evaluations of Intractable Integrals

DOI10.1080/10618600.2022.2163651OpenAlexW4313495412MaRDI QIDQ6141207

Tonglin Zhang

Publication date: 22 January 2024

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2022.2163651

zbMATH Keywords

Laplace approximationprofile likelihoodpenalized quasi-likelihoodexponential family distributionhigh-dimensional intractable integralsprediction-maximization algorithm

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Asymptotic normality, strong mixing and spectral density estimates
• Spatial variation. 2nd ed
• Interpolation of spatial data. Some theory for kriging
• A comparison of programming languages in macroeconomics
• General Gaussian estimation
• Estimation and prediction for spatial generalized linear mixed models using high order Laplace approximation
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• On Estimation and Prediction for Spatial Generalized Linear Mixed Models
• Bayesian Prediction of Spatial Count Data Using Generalized Linear Mixed Models
• Spatial Modeling of Regional Variables
• Bayesian inference for generalized linear mixed models
• Iteratively reweighted least squares with random effects for maximum likelihood in generalized linear mixed effects models
• Fixed Rank Kriging for Very Large Spatial Data Sets
• Estimation Methods for Models of Spatial Interaction
• Model-Based Geostatistics
• Bias Correction in Generalized Linear Mixed Models With Multiple Components of Dispersion
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• Nonseparable, Stationary Covariance Functions for Space–Time Data
• Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions
• Stochastic Models That Separate Fractal Dimension and the Hurst Effect
• Approximate Inference in Generalized Linear Mixed Models
• Bias correction in generalised linear mixed models with a single component of dispersion
• A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data
• Approximate Likelihood for Large Irregularly Spaced Spatial Data
• Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets
• Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
• Space–Time Covariance Functions

This page was built for publication: Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models without Numerical Evaluations of Intractable Integrals