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Sharp non-asymptotic oracle inequalities for non-parametric heteroscedastic regression models

Authors: Galtchouk, L.; Pergamenshchikov, S.

Source: Journal of Nonparametric Statistics, Volume 21, Number 1, January 2009 , pp. 1-18(18)

Publisher: Taylor and Francis Ltd

Optimal dyadic decision trees

Authors: Blanchard, G.; Schäfer, C.; Rozenholc, Y.; Müller, K.-R.

Source: Machine Learning, Volume 66, Numbers 2-3, March 2007 , pp. 209-241(33)

Publisher: Springer

Model selection by bootstrap penalization for classification

Author: Fromont, Magalie

Source: Machine Learning, Volume 66, Numbers 2-3, March 2007 , pp. 165-207(43)

Publisher: Springer

Improved Model Selection Method for a Regression Function with Dependent Noise

Authors: Fourdrinier, D.; Pergamenshchikov, S.

Source: Annals of the Institute of Statistical Mathematics, Volume 59, Number 3, September 2007 , pp. 435-464(30)

Publisher: Springer

Discussion on "Sequential Design and Estimation in Heteroscedastic Nonparametric Regression" by Sam Efromovich

Author: Galtchouk, Leonid

Source: Sequential Analysis, Volume 26, Number 1, January 2007 , pp. 29-32(4)

Publisher: Taylor and Francis Ltd

Oracle Inequalities for Efromovich–Pinsker Blockwise Estimates

Author: Efromovich S.

Source: Methodology And Computing In Applied Probability, Volume 6, Number 3, September 2004 , pp. 303-322(20)

Publisher: Springer

Bandwidth selection for local linear regression smoothers

Authors: Hengartner, Nicolas W.; Wegkamp, Marten H.; Matzner-Løber, Eric

Source: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 64, Number 4, October 2002 , pp. 791-804(14)

Publisher: Blackwell Publishing

On adaptive wavelet estimation of a derivative and other related linear inverse problems

Author: Cai T.T.

Source: Journal of Statistical Planning and Inference, Volume 108, Number 1, 1 November 2002 , pp. 329-349(21)

Publisher: Elsevier

Wavelet Threshold Estimators for Data with Correlated Noise

Authors: Johnstone, Iain M.; Silverman, Bernard W.

Source: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 59, Number 2, 1997 , pp. 319-351(33)

Publisher: Blackwell Publishing