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Wavelet regression in random design with heteroscedastic dependent
  errors

Wavelet regression in random design with heteroscedastic dependent errors

2 September 2009
Rafal Kulik
M. Raimondo
ArXiv (abs)PDFHTML

Papers citing "Wavelet regression in random design with heteroscedastic dependent errors"

11 / 11 papers shown
Adaptive estimation for the nonparametric bivariate additive model in
  random design with long-memory dependent errors
Adaptive estimation for the nonparametric bivariate additive model in random design with long-memory dependent errors
Rida Benhaddou
Qing Liu
160
0
0
22 May 2022
Estimation in nonparametric regression model with additive and
  multiplicative noise via Laguerre series
Estimation in nonparametric regression model with additive and multiplicative noise via Laguerre series
Rida Benhaddou
377
3
0
22 Dec 2020
Nonparametric estimation in a regression model with additive and
  multiplicative noise
Nonparametric estimation in a regression model with additive and multiplicative noiseJournal of Computational and Applied Mathematics (JCAM), 2019
C. Chesneau
Salima El Kolei
Junke Kou
F. Navarro
424
12
0
18 Jun 2019
Orthogonal Series Estimates on Strong Spatial Mixing Data
Orthogonal Series Estimates on Strong Spatial Mixing Data
Johannes T. N. Krebs
203
4
0
22 Sep 2016
Non-parametric Regression for Spatially Dependent Data with Wavelets
Non-parametric Regression for Spatially Dependent Data with Wavelets
Johannes T. N. Krebs
343
3
0
21 Sep 2016
Slope heuristics and V-Fold model selection in heteroscedastic
  regression using strongly localized bases
Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases
F. Navarro
Adrien Saumard
418
16
0
21 May 2015
Adaptive estimation under single-index constraint in a regression model
Adaptive estimation under single-index constraint in a regression model
O. Lepski
N. Serdyukova
326
29
0
29 Apr 2013
Nonparametric Regression Estimation Based on Spatially Inhomogeneous
  Data: Minimax Global Convergence Rates and Adaptivity
Nonparametric Regression Estimation Based on Spatially Inhomogeneous Data: Minimax Global Convergence Rates and Adaptivity
A. Antoniadis
Marianna Pensky
T. Sapatinas
332
12
0
22 Jun 2011
Adaptive estimation in the nonparametric random coefficients binary
  choice model by needlet thresholding
Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding
Eric Gautier
E. L. Pennec
659
22
0
17 Jun 2011
Some results on random design regression with long memory errors and
  predictors
Some results on random design regression with long memory errors and predictors
Rafal Kulik
P. Lorek
177
16
0
21 Feb 2011
Kink estimation in stochastic regression with dependent errors and
  predictors
Kink estimation in stochastic regression with dependent errors and predictors
J. Wishart
Rafal Kulik
228
9
0
08 Mar 2010
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