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Asymptotic normality of kernel estimates in a regression model for
  random fields

Asymptotic normality of kernel estimates in a regression model for random fields

9 July 2009
Mohamed El Machkouri
R. Stoica
ArXiv (abs)PDFHTML

Papers citing "Asymptotic normality of kernel estimates in a regression model for random fields"

7 / 7 papers shown
Title
Local polynomial trend regression for spatial data on $\mathbb{R}^d$
Local polynomial trend regression for spatial data on Rd\mathbb{R}^dRd
Daisuke Kurisu
Y. Matsuda
71
1
0
24 Nov 2022
On estimation and prediction in a spatial semi-functional linear
  regression model
On estimation and prediction in a spatial semi-functional linear regression model
Stéphane Bouka
Kowir Pambo Bello
G. Nkiet
14
0
0
19 Nov 2022
Nonparametric regression for locally stationary random fields under
  stochastic sampling design
Nonparametric regression for locally stationary random fields under stochastic sampling design
Daisuke Kurisu
88
14
0
13 May 2020
On nonparametric inference for spatial regression models under domain
  expanding and infill asymptotics
On nonparametric inference for spatial regression models under domain expanding and infill asymptotics
Daisuke Kurisu
73
9
0
25 Apr 2018
Convergence rates in the central limit theorem for weighted sums of
  Bernoulli random fields
Convergence rates in the central limit theorem for weighted sums of Bernoulli random fields
D. Giraudo
23
1
0
21 Mar 2017
Kernel deconvolution estimation for random fields
Kernel deconvolution estimation for random fields
Ahmed El Ghini
M. E. Machkouri
30
0
0
02 Jan 2012
Asymptotic normality of the Parzen-Rosenblatt density estimator for
  strongly mixing random fields
Asymptotic normality of the Parzen-Rosenblatt density estimator for strongly mixing random fields
Mohamed El Machkouri
69
32
0
07 Aug 2010
1