Kernel regression estimation for continuous spatial processes
type: Item
instance of: scholarly article
title: Kernel regression estimation for continuous spatial processes
zbMATH Open document ID: 1140.62071
DOI: 10.3103/S1066530707040023
published in: Mathematical Methods of Statistics
publication date: 2008-05-21T00:00:00Z
Mathematics Subject Classification ID: 62M30
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 5277714
zbMATH Keywords: kernel density estimation
zbMATH Keywords: kernel regression estimation
zbMATH Keywords: spatial process
zbMATH Keywords: spatial prediction
zbMATH Keywords: optimal rate of convergence
author: Sophie Dabo-Niang
author: Anne-Françoise Yao
describes a project that uses: spatial
MaRDI profile type: Publication
cites work: New directions in spatial econometrics
cites work: A Markov property for set-indexed processes
cites work: Q4153933
cites work: Nonparametric spatial prediction
cites work: Optimal sampling for density estimation in continuous time
cites work: A family of minimax rates for density estimators in continuous time
cites work: Q3817485
cites work: Parametric rates of nonparametric estimators and predictors for continuous time processes
cites work: Asymptotic normality for density kernel estimators in discrete and continuous time
cites work: Kernel regression estimation for random fields
cites work: Frequency poligons for random fields.
cites work: Kernel density estimation for random fields. (Density estimation for random fields)
cites work: Kernel density estimation for random fields: TheL1Theory
cites work: Q4002793
cites work: Kernel density estimator in an infinite-dimensional space with a rate of convergence in the case of diffusion process.
cites work: Kernel regression estimation when the regressor takes values in metric space
cites work: Mixing: Properties and examples
cites work: Nonparametric functional data analysis. Theory and practice.
cites work: Q4841600
cites work: Kernel density estimation for spatial processes: The \(L_{1}\) theory
cites work: Local linear spatial regression
cites work: Brownian Motion with a Several-Dimensional Time
cites work: Resampling methods for spatial regression models under a class of stochastic designs
cites work: Density estimation for a class of continuous time processes
cites work: Texture synthesis and nonparametric resampling of random fields
cites work: Q5790302
cites work: Spatial nonparametric regression estimation: Non-isotropic case
cites work: Spatial kernel regression estimation: weak consistency
cites work: Distribution-free strong consistency for nonparametric kernel regression involving nonlinear time series
cites work: Nonparametric Estimation and Identification of Nonlinear ARCH Time Series Strong Convergence and Asymptotic Normality: Strong Convergence and Asymptotic Normality
cites work: Gauss-Markov random fields (CMrf) with continuous indices
cites work: On the sharp Markov property for Gaussian random fields and spectral synthesis in spaces of Bessel potentials
cites work: Nonparametric resampling for homogeneous strong mixing random fields
cites work: Q3706382
cites work: Nonparameteric estimation in mixing sequences of random variables
cites work: Kernel density estimation on random fields
cites work: Nearest neighbor estimators for random fields
cites work: Nonparametric function estimation involving time series
cites work: NEAREST‐NEIGHBOUR METHODS FOR TIME SERIES ANALYSIS
full work available at URL: s1066530707040023
OpenAlex ID: W2062887393
description: scientific article; zbMATH DE number 5277714