Non-stationary spatial autoregressive modeling for the prediction of lattice data

DOI10.1080/03610918.2021.1996604OpenAlexW3213324417MaRDI QIDQ6141747

Gholam Reza Mohtashami Borzadaran, Y. Waghei, H. R. Nili Sani, Unnamed Author

Publication date: 23 January 2024

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

Full work available at URL: https://doi.org/10.1080/03610918.2021.1996604

zbMATH Keywords

predictionlattice dataspatial autoregressive modelnon-stationarydifferencing

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Strictly stationary solutions of spatial ARMA equations
• The stationary regions for the parameter space of unilateral second-order spatial AR model
• Some results on unilateral ARMA lattice processes
• Statistical spatial series modelling II: Some further results on unilateral lattice processes
• Estimation Methods for Models of Spatial Interaction
• Statistical spatial series modelling
• A subclass of lattice processes applied to a problem in planar sampling
• Comparison of spatial interpolation methods in the first order stationary multiplicative spatial autoregressive models
• Bayesian Inference for Non-Stationary Spatial Covariance Structure via Spatial Deformations
• Performance of extrapolation based on Pitman's measure of closeness in spatial regression models with extended skew t innovations
• Comparison of predictions by kriging and spatial autoregressive models
• Physical nearest-neighbour models and non-linear time-series
• A note on properties of spatial yule-walker estimators
• ON STATIONARY PROCESSES IN THE PLANE

This page was built for publication: Non-stationary spatial autoregressive modeling for the prediction of lattice data