On the quantile regression when the regressor is functional: spatial data case

DOI10.1016/J.CRMA.2011.10.025zbMath1228.62043OpenAlexW2073424537MaRDI QIDQ654556

Sophie Dabo-Niang, Zoulikha Kaid, Ali Laksaci

Publication date: 28 December 2011

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.2011.10.025

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Random fields; image analysis (62M40) Nonparametric regression and quantile regression (62G08)

Related Items (1)

Asymptotic properties of the kernel estimate of spatial conditional mode when the regressor is functional

Cites Work

• Local linear spatial quantile regression
• Nonparametric estimation of conditional quantiles for functional and spatial dependent variables
• Kernel density estimation on random fields
• Kernel regression estimation for continuous spatial processes
• Robust quantile estimation and prediction for spatial processes
• Consistent nonparametric regression. Discussion
• Nonparametric prediction by conditional median and quantiles
• Consistency of a nonparametric conditional quantile estimator for random fields
• Nonparametric functional data analysis. Theory and practice.
• Nonparametric Quantile Regression Estimation for Functional Dependent Data
• Asymptotic Results of a Nonparametric Conditional Quantile Estimator for Functional Time Series
• Nonparametric estimation of a conditional quantile for \(\alpha\)-mixing processes

This page was built for publication: On the quantile regression when the regressor is functional: spatial data case