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Daniel Conn
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All published works
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Title
Year
Authors
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An oracle property of the Nadaraya–Watson kernel estimator for high‐dimensional nonparametric regression
2018
Daniel Conn
Gang Li
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An Oracle Property of The Nadaraya-Watson Kernel Estimator for High Dimensional Nonparametric Regression
2017
Daniel Conn
Gang Li
Common Coauthors
Coauthor
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Gang Li
1
Gang Li
1
Commonly Cited References
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Title
Year
Authors
# of times referenced
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PDF
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On the Consistency of Cross-Validation in Kernel Nonparametric Regression
1983
Wing Hung Wong
1
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A Distribution-Free Theory of Nonparametric Regression
2002
László Györfi
Michael Köhler
Adam Krzyżak
Harro Walk
1
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Multidimensional Real Analysis I: Differentiation
2004
J. J. Duistermaat
J. A. C. Kolk
J. P. van Braam Houckgeest
1
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A Survey on Metric Learning for Feature Vectors and Structured Data
2013
Aurélien Bellet
Amaury Habrard
Marc Sebban
1
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On Estimating Regression
1964
É. A. Nadaraya
1
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On cross-validation in kernel and partitioning regression estimation
2002
Harro Walk
1
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PDF
Chat
Structure Adaptive Approach for Dimension Reduction
2001
Marian Hristache
Anatoli Juditsky
Jörg Polzehl
Vladimir Spokoiny
1
+
PDF
Chat
Optimal Smoothing in Single-Index Models
1993
Wolfgang Karl Härdle
Peter Hall
Hidehiko Ichimura
1
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ASYMPTOTIC DISTRIBUTIONS FOR TWO ESTIMATORS OF THE SINGLE-INDEX MODEL
2006
Yingcun Xia
1
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Lower bounds on the rate of convergence of nonparametric regression estimates
2000
András Antos
László Györfi
Michael Köhler
1
+
Nonparametric Kernel Regression Estimation-Optimal Choice of Bandwidth
1987
Wolfgang Karl Härdle
Gabrielle Kelly
1
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PDF
Chat
Optimal Bandwidth Selection in Nonparametric Regression Function Estimation
1985
Wolfgang Karl Härdle
J. S. Marron
1
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Random approximations to some measures of accuracy in nonparametric curve estimation
1986
J. S. Marron
Wolfgang Karl Härdle
1
+
PDF
Chat
Asymptotics of cross-validated risk estimation in estimator selection and performance assessment
2005
Sandrine Dudoit
Mark J. van der Laan
1
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PDF
Chat
Asymptotically optimal model selection method with right censored outcomes
2004
Sündüz Keleş
Mark van der Laan
Sandrine Dudoit
1
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A note on structural adaptive dimension reduction
2008
Jörg Polzehl
Stefan Sperlich
1
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PDF
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Asymptotic properties of integrated square error and cross-validation for kernel estimation of a regression function
1984
Peter Hall
1
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PDF
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Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
1993
Hidehiko Ichimura
1
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A comparative study of ordinary cross-validation, <i>v</i>-fold cross-validation and the repeated learning-testing methods
1989
Prabir Burman
1
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PDF
Chat
An Adaptive Estimation of Dimension Reduction Space
2002
Yingcun Xia
Howell Tong
W. K. Li
Li Zhu
1
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Smooth Regression Analysis
1964
Geoffrey S. Watson
1
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An Introduction to Statistical Learning
2013
Gareth James
Daniela Witten
Trevor Hastie
Robert Tibshirani
1
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PDF
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A survey of cross-validation procedures for model selection
2010
Sylvain Arlot
Alain Célisse
1
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Convex Optimization
2004
Stephen Boyd
Lieven Vandenberghe
1