Estimation of the trend function and auto-covariance for spatial models

DOI10.1016/j.crma.2019.11.002zbMath1434.62204OpenAlexW2621872532WikidataQ126770071 ScholiaQ126770071MaRDI QIDQ2280093

Stéphane Bouka

Publication date: 17 December 2019

Published in: Comptes Rendus. Mathématique. Académie des Sciences, Paris (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.crma.2019.11.002

zbMATH Keywords

Berry-Esseen-type boundtrend functionauto-covariance for spatial models

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Density estimation (62G07) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric tolerance and confidence regions (62G15)

Cites Work

• Kernel density estimation on random fields
• Kernel regression estimation for continuous spatial processes
• Nonparametric spatial prediction
• Minimax testing composite null hypotheses in the discrete regression scheme
• On local linear regression for strongly mixing random fields
• Moment inequalities for spatial processes
• NON-PARAMETRIC LEVEL SET ESTIMATION FOR SPATIAL DATA
• Estimation of the trend function for spatio-temporal models
• Smoothing parameter selection methods for nonparametric regression with spatially correlated errors

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