Aurore Delaigle

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Irène GijbelsProfessor of Statistics, KU LeuvenEmail verificata su wis.kuleuven.be
Alexander MeisterUniversity of RostockEmail verificata su uni-rostock.de
Wenxin ZhouDepartment of Information & Decision Sciences, University of Illinois ChicagoEmail verificata su uic.edu
Jianqing FanProfessor of Statistics, Professor of Finance, Princeton UniversityEmail verificata su princeton.edu
Hans-Georg MüllerUniversity of California, DavisEmail verificata su ucdavis.edu
Jiashun JinProfessor of Statistics, Carnegie Mellon UniversityEmail verificata su stat.cmu.edu
Wei HuangUniversity of MelbourneEmail verificata su unimelb.edu.au
Peihua QiuDean's Professor of Biostatistics, University of FloridaEmail verificata su phhp.ufl.edu
Tung PhamVinAI ResearchEmail verificata su hus.edu.vn
Justin Rory WishartDisplayrEmail verificata su displayr.com
Jane-Ling WangDistinguished Professor of StatisticsEmail verificata su ucdavis.edu
Tatiyana ApanasovichGeorge Washington UniversityEmail verificata su email.gwu.edu
Mark F BennettWalter and Eliza Hall Institute of Medical ResearchEmail verificata su wehi.edu.au
Ingrid Van KeilegomKU LeuvenEmail verificata su kuleuven.be
Matt WandDistinguished Professor of Statistics, University of Technology SydneyEmail verificata su uts.edu.au
Lily WangGeorge Mason UniversityEmail verificata su gmu.edu
Jeroen VK RomboutsESSEC Business SchoolEmail verificata su essec.edu
Cheng Yong Tang (汤琤咏)Professor of Statistics, Temple UniversityEmail verificata su temple.edu
John BuonaccorsiProfessor of Statistics, University of MassachusettsEmail verificata su math.umass.edu
Song Xi ChenIowa State University and Peking University

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Aurore Delaigle

University of Melbourne

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Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
On deconvolution with repeated measurements A Delaigle, P Hall, A Meister The Annals of Statistics 36 (2), 665-685, 2008	245	2008
Practical bandwidth selection in deconvolution kernel density estimation A Delaigle, I Gijbels Computational statistics & data analysis 45 (2), 249-267, 2004	219	2004
Achieving near perfect classification for functional data A Delaigle, P Hall Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2012	216	2012
Defining probability density for a distribution of random functions A Delaigle, P Hall The Annals of Statistics 38 (2), 1171-1193, 2010	203	2010
Methodology and theory for partial least squares applied to functional data A Delaigle, P Hall The Annals of Statistics 40 (1), 322-352, 2012	190	2012
Bootstrap bandwidth selection in kernel density estimation from a contaminated sample A Delaigle, I Gijbels Annals of the Institute of Statistical Mathematics 56 (1), 19-47, 2004	144	2004
A design-adaptive local polynomial estimator for the errors-in-variables problem A Delaigle, J Fan, RJ Carroll Journal of the American Statistical Association 104 (485), 348-359, 2009	118	2009
Density estimation with heteroscedastic error A Delaigle, A Meister Bernoulli 14 (2), 562-579, 2008	110	2008
Estimation of integrated squared density derivatives from a contaminated sample A Delaigle, I Gijbels Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2002	101	2002
Classification using censored functional data A Delaigle, P Hall Journal of the American Statistical Association 108 (504), 1269-1283, 2013	100	2013
Componentwise classification and clustering of functional data A Delaigle, P Hall, N Bathia Biometrika 99 (2), 299-313, 2012	92	2012
Using SIMEX for smoothing-parameter choice in errors-in-variables problems A Delaigle, P Hall Journal of the American Statistical Association 103 (481), 280-287, 2008	86	2008
Robustness and accuracy of methods for high dimensional data analysis based on Student's t‐statistic A Delaigle, P Hall, J Jin Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2011	80	2011
Nonparametric regression estimation in the heteroscedastic errors-in-variables problem A Delaigle, A Meister Journal of the American Statistical Association 102 (480), 1416-1426, 2007	79	2007
Nonparametric prediction in measurement error models RJ Carroll, A Delaigle, P Hall Journal of the American Statistical Association 104 (487), 993-1003, 2009	72	2009
Nonparametric covariate-adjusted regression A Delaigle, P Hall, WX Zhou Annals of Statistics, 2190-2220, 2016	69	2016
An alternative view of the deconvolution problem A Delaigle Statistica Sinica 18 (3), 1025-1045, 2008	64	2008
Non‐parametric regression estimation from data contaminated by a mixture of Berkson and classical errors RJ Carroll, A Delaigle, P Hall Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2007	64	2007
Methodology for non‐parametric deconvolution when the error distribution is unknown A Delaigle, P Hall Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2016	61	2016
Nonparametric regression analysis for group testing data A Delaigle, A Meister Journal of the American Statistical Association 106 (494), 640-650, 2011	60	2011

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