Local Linear Regression for Non Grid Spatiotemporal Models with Autoregressive Errors

DOI10.1080/03610926.2011.648796zbMath1280.62108OpenAlexW1977404518MaRDI QIDQ2873922

Hong-Xia Wang, Jinde Wang

Publication date: 28 January 2014

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

Full work available at URL: https://doi.org/10.1080/03610926.2011.648796

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05) Applications of statistics to environmental and related topics (62P12) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (1)

Asymptotic properties of nonparametric quantile estimation with spatial dependency

Cites Work

• On the asymptotic properties of least-squares estimators in autoregression
• Variable bandwidth and local linear regression smoothers
• Consistent nonparametric regression. Discussion
• Spatial kernel regression estimation: weak consistency
• Nonparametric spatial prediction
• Multivariate locally weighted least squares regression
• Local linear spatial regression
• Local Linear M-estimation in non-parametric spatial regression
• Local Polynomial Estimation of Regression Functions for Mixing Processes
• Statistics for Spatial Data
• Estimation of the trend function for spatio-temporal models
• Unnamed Item
• Unnamed Item

This page was built for publication: Local Linear Regression for Non Grid Spatiotemporal Models with Autoregressive Errors