Éric Matzner-Løber

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All published works

Action	Title	Year	Authors
+	Chapitre 4 Extensions : non-inversibilité et (ou) erreurs corrélées	2023	LaurentVE Rouvière Nicolas Hengartner Eric Matzner‐Løber
+	Interobserver agreement issues in radiology	2020	Mehdi Benchoufi Eric Matzner‐Løber Nicolas Molinari Anne‐Sophie Jannot Philippe Soyer
+	Symmetrizing k-nn and Mutual k-nn Smoothers	2018	P.-A. Cornillon A. Gribinski Nicolas Hengartner Thomas Kerdreux Eric Matzner‐Løber
+ PDF Chat	Multiplicative Bias Corrected Nonparametric Smoothers	2018	Nicolas Hengartner Eric Matzner‐Løber Laurent Rouvìère Thomas Burr
+ PDF Chat	Iterative Bias Reduction Multivariate Smoothing in <i>R</i>: The <b>ibr</b> Package	2017	Pierre‐André Cornillon Nicolas Hengartner Eric Matzner‐Løber
+ PDF Chat	Iterative isotonic regression	2014	Arnaud Guyader Nicolas Hengartner Nicolas Jégou Eric Matzner‐Løber
+ PDF Chat	Recursive bias estimation for multivariate regression smoothers	2013	Pierre‐André Cornillon Nicolas Hengartner Eric Matzner‐Løber
+	Iterative Isotonic Regression	2013	Arnaud Guyader Nicolas Hengartner Nicolas Jégou Eric Matzner‐Løber
+	Iterative Isotonic Regression	2013	Arnaud Guyader Nicolas Hengartner Nicolas Jégou Éric Matzner-Løber
+	Iterative bias reduction: a comparative study	2012	P.-A. Cornillon Nicolas Hengartner Nicolas Jégou Éric Matzner-Løber
+	Simulation and Estimation of Extreme Quantiles and Extreme Probabilities	2011	Arnaud Guyader Nicolas Hengartner Eric Matzner‐Løber
+	Moindres carrés généralisés	2011	Pierre‐André Cornillon Eric Matzner‐Løber
+	Ridge et Lasso	2011	Pierre‐André Cornillon Eric Matzner‐Løber
+	Recursive bias estimation for multivariate regression smoothers	2011	P.-A. Cornillon Nicolas Hengartner Eric Matzner‐Løber
+	Iterative bias reduction multivariate smoothing in R: The ibr package	2011	P.-A. Cornillon Nicolas Hengartner Eric Matzner‐Løber
+ PDF Chat	Réduction itérative du biais pour des lisseurs multivariés	2010	Pierre‐André Cornillon Nicolas Hengartner Eric Matzner‐Løber
+	Estimation de quantiles extrêmes et de probabilités d'événements rares	2010	Arnaud Guyader Nicolas Hengartner Éric Matzner-Løber
+ PDF Chat	Regression quantiles with errors-in-variables	2009	D. A. Ioannides Éric Matzner-Løber
+ PDF Chat	Asymptotic unbiased density estimators	2008	Nicolas Hengartner Eric Matzner‐Løber
+	Recursive bias estimation for high dimensional smoothers	2008	Nicolas Hengartner Éric Matzner-Løber Pierre - Andre Cornillon
+	A note on asymptotic normality of convergent estimates of the conditional mode with errors-in-variables	2004	Dimitris Ioannides Éric Matzner-Løber
+	Unsupervised Curve Clustering using B‐Splines	2003	Christophe Abraham P.-A. Cornillon Eric Matzner‐Løber Nicolas Molinari
+	Regression quantiles with errors-in-variables	2003	D. A. Ioannides Eric Matzner‐Løber
+ PDF Chat	Bandwidth Selection for Local Linear Regression Smoothers	2002	Nicolas Hengartner Marten Wegkamp Eric Matzner‐Løber
+	Nonparametric Estimation of the Conditional Mode with Errors-In-Variables: Strong Consistency for Mixing Processes	2002	D. A. Ioannides Éric Matzner-Løber
+	Normalité asymptotique d'estimateurs convergents du mode conditionnel	1998	Alain Berlinet Ali Gannoun Eric Matzner‐Løber
+	Propriétés asymptotiques d'estimateurs convergents des quantiles conditionnels	1998	Alain Berlinet Ali Gannoun Eric Matzner‐Løber

Common Coauthors

Coauthor	Papers Together
Nicolas Hengartner	17
Arnaud Guyader	5
Pierre‐André Cornillon	5
P.-A. Cornillon	5
Nicolas Jégou	4
D. A. Ioannides	3
Nicolas Molinari	2
Alain Berlinet	2
Ali Gannoun	2
Thomas Burr	1
Laurent Rouvìère	1
Pierre - Andre Cornillon	1
LaurentVE Rouvière	1
A. Gribinski	1
Christophe Abraham	1
Thomas Kerdreux	1
Anne‐Sophie Jannot	1
Marten Wegkamp	1
Mehdi Benchoufi	1
Philippe Soyer	1
Dimitris Ioannides	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	On boosting kernel regression	2007	Marco Di Marzio Charles Taylor	6
+ PDF Chat	Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)	2000	Jerome H. Friedman Trevor Hastie Robert Tibshirani	6
+ PDF Chat	Linear Smoothers and Additive Models	1989	Andreas Buja Trevor Hastie Robert Tibshirani	5
+ PDF Chat	Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion	1998	Clifford M. Hurvich Jeffrey S. Simonoff Chih‐Ling Tsai	5
+ PDF Chat	Projection Pursuit Regression	1981	Jerome H. Friedman Werner Stuetzle	5
+ PDF Chat	Smoothing Methods in Statistics	1997	Brian S. Yandell Jeffrey S. Simonoff	5
+	A Distribution-Free Theory of Nonparametric Regression	2002	László Györfi Michael Köhler Adam Krzyżak Harro Walk	5
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	4
+ PDF Chat	Thin Plate Regression Splines	2003	Simon N. Wood	3
+ PDF Chat	Bandwidth Selection for Local Linear Regression Smoothers	2002	Nicolas Hengartner Marten Wegkamp Eric Matzner‐Løber	3
+	Smoothing noisy data with spline functions	1978	Peter G. Craven Grace Wahba	3
+	Iterative bias reduction: a comparative study	2012	P.-A. Cornillon Nicolas Hengartner Nicolas Jégou Éric Matzner-Løber	3
+	Generalized Additive Models	2014	Trevor Hastie Robert Tibshirani	3
+ PDF Chat	Asymptotic Optimality for $C_p, C_L$, Cross-Validation and Generalized Cross-Validation: Discrete Index Set	1987	Ker-Chau Li	3
+	Smoothing Spline ANOVA Models	2002	Chong Gu	3
+ PDF Chat	Recursive bias estimation for multivariate regression smoothers	2013	Pierre‐André Cornillon Nicolas Hengartner Eric Matzner‐Løber	3
+	Rate optimal estimation with the integration method in the presence of many covariates	2004	Nicolas Hengartner Stefan Sperlich	3
+ PDF Chat	Smoothing Spline ANOVA Models	2013	Chong Gu	3
+	Smoothing Methods in Statistics	1996	Jeffrey S. Simonoff	3
+ PDF Chat	On the Optimal Rates of Convergence for Nonparametric Deconvolution Problems	1991	Jianqing Fan	3
+	Asymptotically Minimax Adaptive Estimation. I: Upper Bounds. Optimally Adaptive Estimates	1992	O. V. Lepskii	3
+ PDF Chat	The existence and asymptotic properties of a backfitting projection algorithm under weak conditions	1999	Enno Mammen Oliver Linton Jens Perch Nielsen	2
+	Recursive bias estimation for multivariate regression smoothers	2011	P.-A. Cornillon Nicolas Hengartner Eric Matzner‐Løber	2
+ PDF Chat	Maximum Likelihood Estimates of Monotone Parameters	1955	H. D. Brunk	2
+	Estimation and selection procedures in regression: An <i>L</i><sub>1</sub> approach	2001	Nicolas Hengartner Marten Wegkamp	2
+	A multiplicative bias reduction method for nonparametric regression	1994	Oliver Linton Jens Perch Nielsen	2
+	Smoothing noisy data with spline functions	1975	Grace Wahba	2
+	Spline Smoothing and Nonparametric Regression.	1989	M. C. Jones R. L. Eubank	2
+ PDF Chat	On the degrees of freedom in shape-restricted regression	2000	Mary C. Meyer Michael Woodroofe	2
+	Statistical Inference under Order Restrictions (The Theory and Application of Isotonic Regression)	1973	I. Vincze R. E. Barlow D. J. Bartholomew J. M. Bremner H. D. Brunk	2
+ PDF Chat	Consistency for the least squares estimator in nonparametric regression	1996	Marten Wegkamp Sara van de Geer	2
+	Nonparametric regression with errors in variables and applications	1997	D. A. Ioannides Panagiotis Alevizos	2
+	Asymptotic Properties of Backfitting Estimators	2000	Jean D. Opsomer	2
+	Convergence rates for multivariate smoothing spline functions	1988	Florencio I. Utreras	2
+ PDF Chat	Optimal estimation in additive regression models	2006	Joël L. Horowitz Jussi Klemelä Enno Mammen	2
+	Combining Different Procedures for Adaptive Regression	2000	Yuhong Yang	2
+	Introduction to Nonparametric Estimation	2008	Alexandre B. Tsybakov	2
+ PDF Chat	An Empirical Distribution Function for Sampling with Incomplete Information	1955	Miriam Ayer H. D. Brunk George M. Ewing Willam T. Reid Edward Silverman	2
+	Nonparametric Statistics for Stochastic Processes	1996	Denis Bosq	2
+	Active set algorithms for isotonic regression; A unifying framework	1990	Michael J. Best Nilotpal Chakravarti	2
+	Recursive Bias Estimation and $L_2$ Boosting	2008	Nicolas Hengartner Pierre Cornillon Eric Matzner Lober	2
+	Normalité asymptotique d'estimateurs convergents du mode conditionnel	1998	Alain Berlinet Ali Gannoun Eric Matzner‐Løber	2
+ PDF Chat	The Min-Max Algorithm and Isotonic Regression	1983	Chu-In Charles Lee	2
+	Nonparametric multiplicative bias correction for kernel-type density estimation on the unit interval	2009	Masayuki Hirukawa	2
+	Multivariate Density Estimation	1992	David W. Scott	2
+ PDF Chat	Monotone spectral density estimation	2011	Dragi Anevski Philippe Soulier	2
+	Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting	1988	William S. Cleveland Susan J. Devlin	2
+	A simple bias reduction method for density estimation	1995	M. C. Jones Oliver B. Linton Jens Perch Nielsen	2
+ PDF Chat	Iterative Bias Reduction Multivariate Smoothing in <i>R</i>: The <b>ibr</b> Package	2017	Pierre‐André Cornillon Nicolas Hengartner Eric Matzner‐Løber	2
+	Moment inequalities for mixing sequences of random variables	1987	George G. Roussas D. A. Ioannides	2