On approximating optimal weighted composite likelihood method for spatial models

DOI10.1002/sta4.194MaRDI QIDQ6541464

Huiyan Sang, Furong Li

Publication date: 19 May 2024

Published in: Stat (Search for Journal in Brave)

zbMATH Keywords

Gaussian processestimating equationcomposite likelihoodcovariance estimation

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Comparing composite likelihood methods based on pairs for spatial Gaussian random fields
• Pairwise likelihood inference in spatial generalized linear mixed models
• Quasi-likelihood and its application. A general approach to optimal parameter estimation
• A note on pseudolikelihood constructed from marginal densities
• Aberrant Crypt Foci and Semiparametric Modeling of Correlated Binary Data
• Least Squares Variogram Fitting by Spatial Subsampling
• Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach
• Likelihood-Based Inference for Max-Stable Processes
• Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets
• Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
• An Optimum Property of Regular Maximum Likelihood Estimation
• Joint Composite Estimating Functions in Spatiotemporal Models

Related Items (2)

Efficient composite likelihood for a scalar parameter of interest ⋮ Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-\(hh\) random fields estimation

This page was built for publication: On approximating optimal weighted composite likelihood method for spatial models