Model selection with misspecified spatial covariance structure

DOI10.1080/00949655.2014.926551zbMath1457.62029OpenAlexW2060811275MaRDI QIDQ5220859

Shurong Zheng, You-Gan Wang, Lin Xu, Ning-Zhong Shi

Publication date: 27 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2014.926551

zbMATH Keywords

correlation functionvariance functioninformation criterionmean functionspatial data analysis

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05) Statistical aspects of information-theoretic topics (62B10)

Related Items (2)

Blockwise AIC_c and its consistency properties in model selection ⋮ Assuming independence in spatial latent variable models: Consequences and implications of misspecification

Cites Work

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• Asymptotic properties of criteria for selection of variables in multiple regression
• Asymptotic properties of a maximum likelihood estimator with data from a Gaussian process
• Modeling by shortest data description
• Estimating the dimension of a model
• Asymptotics for REML estimation of spatial covariance parameters
• Fitting autoregressive models for prediction
• Akaike's Information Criterion in Generalized Estimating Equations
• Statistical Methods for Spatial Data Analysis
• Maximum likelihood estimation of models for residual covariance in spatial regression
• Performance of information criteria for spatial models
• Regression and time series model selection in small samples
• Regression and time series model selection using variants of the schwarz information criterion
• The Selection of Prior Distributions by Formal Rules
• Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance
• Model Selection and Multimodel Inference
• Regression Model Selection—A Residual Likelihood Approach
• Bayesian Measures of Model Complexity and Fit
• Bayes Factors
• Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
• Effects of Variance‐Function Misspecification in Analysis of Longitudinal Data
• Bias of ml and reml estimators in regression models with arma errors
• On Information and Sufficiency

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