Local Linear Estimation for Spatiotemporal Models Based on Least Absolute Deviation

DOI10.1080/03610926.2013.771744zbMath1328.62221OpenAlexW2082817122MaRDI QIDQ5265846

Jinde Wang, Hong-Xia Wang, Jin-Guan Lin

Publication date: 29 July 2015

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.771744

zbMATH Keywords

least-squares methodmixing conditionlocal linear regressionleast absolute deviation estimation

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Cites Work

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• Nonparametric spatial prediction
• Asymptotics of least-squares estimators for constrained nonlinear regression
• Some limit theorems for maxima of nonstationary Gaussian processes
• Asymptotic normality of \(L_ 1\)-estimators in nonlinear regression
• Prediction for spatio-temporal models with autoregression in errors
• L₁-estimation for spatial nonparametric regression
• Statistics for Spatial Data
• Estimation of the trend function for spatio-temporal models
• L₁-estimation for varying coefficient models
• Geostatistical space-time models: a review

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