Jon A. Wellner

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Piet GroeneboomEmeritus Professor of Statistics, Delft University of TechnologyVerified email at tudelft.nl
Chris A.J. KlaassenEmeritus Professor of Mathematical Statistics, University of AmsterdamVerified email at uva.nl
Ya'acov RitovUniversity of MichiganVerified email at umich.edu
peter bickelProfessor of Statistics, UC BerkeleyVerified email at stat.berkeley.edu
Geurt JongbloedProfessor of Statistics, TU DelftVerified email at tudelft.nl
Huang, JianDepartments of Data Science and AI, and Applied Mathematics, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Richard D. GillEmeritus professor of Mathematical Statistics, Leiden UniversityVerified email at math.leidenuniv.nl
Moulinath BanerjeeProfessor of StatisticsVerified email at umich.edu
Ying ZhangProfessor and Chair, Department of Biostatistics, University of Nebraska Medical CenterVerified email at iu.edu
Lutz DuembgenProfessor of Statistics, University of BernVerified email at stat.unibe.ch
Charles R DossUniversity of MinnesotaVerified email at stat.umn.edu
Brad McNeneyAssociate Professor of Statistics, Simon Fraser UniversityVerified email at sfu.ca
David M MasonUniversity of DelawareVerified email at udel.edu
Leah JagerAssistant Scientist, Department of Biostatistics, Johns Hopkins Bloomberg School of Public HealthVerified email at jhu.edu
Sara van de GeerProfessor Mathematics, ETH ZurichVerified email at stat.math.ethz.ch
Evarist GineProfessor of Mathematics, University of ConnecticutVerified email at math.uconn.edu
Mark VeraarTU Delft (Netherlands)Verified email at tudelft.nl
Susan MurphyHarvard UniversityVerified email at g.harvard.edu
Kate HUHarvardVerified email at uw.edu
Marloes Maathuis

Jon A. Wellner

Professor Emeritus of Statistics, University of Washington

Verified email at stat.washington.edu - Homepage

asymptotic theory empirical processes semiparametric models


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Weak convergence AW Van Der Vaart, JA Wellner, AW van der Vaart, JA Wellner Weak Convergence and Empirical Processes: With Applications to Statistics, 16-28, 1996	10048	1996
Empirical processes with applications to statistics GR Shorack, JA Wellner Society for Industrial and Applied Mathematics, 2009	4121	2009
Efficient and adaptive estimation for semiparametric models PJ Bickel, CA Klaassen, Y Ritov, JA Wellner Johns Hopkins University Press, 1993	3671	1993
Information bounds and nonparametric maximum likelihood estimation P Groeneboom, JA Wellner Birkhäuser, 2012	990	2012
Information and asymptotic efficiency in parametric-nonparametric models JM Begun, WJ Hall, WM Huang, JA Wellner The Annals of Statistics 11 (2), 432-452, 1983	633	1983
Non-and semi-parametric maximum likelihood estimators and the von mises method (part 1)[with discussion and reply] RD Gill, JA Wellner, J Præstgaard Scandinavian Journal of Statistics, 97-128, 1989	553	1989
Confidence bands for a survival curve from censored data WJ Hall, JA Wellner Biometrika 67 (1), 133-143, 1980	410	1980
Estimation of mean residual life WJ Hall, JA Wellner Statistical Modeling for Biological Systems: In Memory of Andrei Yakovlev …, 2020	350*	2020
Estimation of a convex function: characterizations and asymptotic theory P Groeneboom, G Jongbloed, JA Wellner The Annals of Statistics 29 (6), 1653-1698, 2001	324	2001
Interval censored survival data: a review of recent progress J Huang, JA Wellner Proceedings of the first Seattle symposium in biostatistics: survival …, 1997	322	1997
Log-concavity and strong log-concavity: a review A Saumard, JA Wellner Statistics surveys 8, 45, 2014	321	2014
Large sample theory of empirical distributions in biased sampling models RD Gill, Y Vardi, JA Wellner The Annals of Statistics, 1069-1112, 1988	312	1988
Exchangeably weighted bootstraps of the general empirical process J Præstgaard, JA Wellner The Annals of Probability, 2053-2086, 1993	308	1993
A hybrid algorithm for computation of the nonparametric maximum likelihood estimator from censored data JA Wellner, Y Zhan Journal of the American Statistical Association 92 (439), 945-959, 1997	267	1997
Efficient estimation in the bivariate normal copula model: normal margins are least favourable CAJ Klaassen, JA Wellner	223	1997
Two estimators of the mean of a counting process with panel count data JA Wellner, Y Zhang The Annals of statistics 28 (3), 779-814, 2000	218	2000
Weighted likelihood for semiparametric models and two‐phase stratified samples, with application to Cox regression NE Breslow, JA Wellner Scandinavian Journal of Statistics 34 (1), 86-102, 2007	206	2007
Inefficient estimators of the bivariate survival function for three models RD Gill, MJ Laan, JA Wellner Annales de l'IHP Probabilités et statistiques 31 (3), 545-597, 1995	205	1995
Limit theorems for the ratio of the empirical distribution function to the true distribution function JA Wellner Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete 45 (1), 73-88, 1978	195	1978
Two likelihood-based semiparametric estimation methods for panel count data with covariates JA Wellner, Y Zhang	194	2007

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