Estimation of the trend function for spatio-temporal models

DOI10.1080/10485250902783608zbMath1165.62035OpenAlexW2017021654MaRDI QIDQ5321919

Jinde Wang, Hong-Xia Wang

Publication date: 16 July 2009

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250902783608

zbMATH Keywords

local polynomial fittingrandom fieldstrend functionspatio-temporal model

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Random fields; image analysis (62M40) Nonparametric regression and quantile regression (62G08) Applications of statistics to environmental and related topics (62P12)

Related Items (9)

Prediction for spatio-temporal models with autoregression in errors ⋮ On nonparametric conditional quantile estimation for non-stationary random fields ⋮ Asymptotics of estimators for nonparametric multivariate regression models with long memory ⋮ B-spline method for spatio-temporal inverse model ⋮ Asymptotic properties of nonparametric quantile estimation with spatial dependency ⋮ Estimation of the trend function and auto-covariance for spatial models ⋮ The nonparametric estimation of long memory spatio-temporal random field models ⋮ Local Linear Estimation for Spatiotemporal Models Based on Least Absolute Deviation ⋮ Local Linear Regression for Non Grid Spatiotemporal Models with Autoregressive Errors

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