J. Wellner

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Efficient and Adaptive Estimation for Semiparametric Models.

K. Do, P. Bickel, C. Klaassen, 1994 .

Efficient estimation in the bivariate normal copula model: normal margins are least favourable

C. Klaassen, J. Wellner, 1997 .

Empirical Processes with Applications to Statistics

J. Wellner, D. A. Jones, G. Shorack, 2009 .

Weak Convergence and Empirical Processes: With Applications to Statistics

Jon A. Wellner, A. W. van der Vaart, J. Wellner, 1996 .

[Empirical Processes and Applications: An Overview]: Discussion

J. Wellner, 1996 .

Limit Distribution Theory for Maximum Likelihood Estimation of a Log-Concave Density.

J. Wellner, F. Balabdaoui, K. Rufibach, 2007, Annals of statistics.

Rates of Convergence

J. Wellner, A. V. D. Vaart, 1996 .

A note on bounds for VC dimensions.

A. W. van der Vaart, J. Wellner, A. van der Vaart, 2009, Institute of Mathematical Statistics collections.

Convergence rates of least squares regression estimators with heavy-tailed errors

J. Wellner, Qiyang Han, Q. Han, 2017, The Annals of Statistics.

Preservation Theorems for Glivenko-Cantelli and Uniform Glivenko-Cantelli Classes

J. Wellner, A. V. D. Vaart, A. Vaart, 2000 .

Existence and consistency of maximum likelihood in upgraded mixture models

J. Wellner, A. V. D. Vaart, A.W van der Vaart, 1992 .

Entropy of Convex Functions on $$\mathbb {R}^d$$Rd

J. Wellner, Fuchang Gao, 2017 .

GLOBAL RATES OF CONVERGENCE OF THE MLES OF LOG-CONCAVE AND s-CONCAVE DENSITIES.

Charles R. Doss, J. Wellner, 2013, Annals of statistics.

ST ] 2 5 Ja n 20 16 MULTIVARIATE CONVEX REGRESSION : GLOBAL RISK BOUNDS AND ADAPTATION By Qiyang Han

J. Wellner, Qiyang Han, 2016 .

Nemirovskis Inequalities Revisited

S. Geer, J. Wellner, L. Dümbgen, 2010 .

Log-Concavity and Strong Log-Concavity: a review.

J. Wellner, Adrien Saumard, 2014, Statistics surveys.

Information and Asymptotic Efficiency in Parametric-Nonparametric Models

W. J. Hall, J. Wellner, J. Begun, 1983 .

Entropy estimate for high-dimensional monotonic functions

J. Wellner, Fuchang Gao, 2005, math/0512641.

EMPIRICAL PROCESSES WITH APPLICATIONS TO STATISTICS (Wiley Series in Probability and Mathematical Statistics)

J. Wellner, G. Shorack, A. Jeffrey, 1987 .

Exponential bounds for the hypergeometric distribution.

J. Wellner, Evan Greene, 2015, Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability.

GOODNESS-OF-FIT TESTS VIA PHI-DIVERGENCES

J. Wellner, L. Jager, 2006, math/0603238.

A local maximal inequality under uniform entropy.

A. W. van der Vaart, J. Wellner, A. van der Vaart, 2010, Electronic journal of statistics.

Information bounds for Gaussian copulas.

Peter D. Hoff, J. Wellner, Xiaoyue Niu, 2011, Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability.

On the rate of convergence of the maximum likelihood estimator of a k-monotone density

J. Wellner, Fuchang Gao, 2009 .

Information Bounds and Nonparametric Maximum Likelihood Estimation

J. Wellner, P. Groeneboom, 1992 .

Exchangeably Weighted Bootstraps of the General Empirical Process

J. Wellner, J. Praestgaard, 1993 .

Computing Chernoff's Distribution

J. Wellner, P. Groeneboom, 2001 .

Large sample theory of empirical distributions in biased sampling models

Richard D. Gill, Jon A. Wellner, J. Wellner, 1988 .

Limit theorems for the ratio of the empirical distribution function to the true distribution function

J. Wellner, 1978 .

A Glivenko-Cantelli theorem for empirical measures of independent but non-identically distributed random variables

Jon A. Wellner, J. Wellner, 1981 .

Glivenko–Cantelli Theorems

Aad van der Vaart, Jon A. Wellner, J. Wellner, 1996 .

On the isoperimetric constant, covariance inequalities and $L_{p}$-Poincaré inequalities in dimension one

J. Wellner, Adrien Saumard, 2017, Bernoulli.

NONPARAMETRIC ESTIMATION OF MULTIVARIATE CONVEX-TRANSFORMED DENSITIES.

Jon A Wellner, J. Wellner, A. Seregin, 2009, Annals of statistics.

Information bounds for Cox regression models with missing data

Jon A. Wellner, Bin Nan, Mary J. Emond, 2004, math/0406452.

A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator from Censored Data

Jon A. Wellner, J. Wellner, Yihui Zhan, 1997 .

A law of the iterated logarithm for Grenander's estimator.

J. Wellner, L. Dümbgen, Malcolm Wolff, 2015, Stochastic processes and their applications.

Estimation of a k-monotone density , part 2 : algorithms for computation and numerical results

Fadoua Balabdaoui, Jon A. Wellner, J. Wellner, 2004 .

The Support Reduction Algorithm for Computing Non‐Parametric Function Estimates in Mixture Models

J. Wellner, P. Groeneboom, G. Jongbloed, 2008, Scandinavian journal of statistics, theory and applications.

Estimation of a convex function: characterizations and asymptotic theory.

J. Wellner, P. Groeneboom, G. Jongbloed, 2001 .

Finite sampling inequalities: an application to two-sample Kolmogorov-Smirnov statistics.

J. Wellner, Evan Greene, 2015, Stochastic processes and their applications.

Nonparametric estimation of a convex bathtub-shaped hazard function.

J. Wellner, H. Jankowski, 2008, Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability.

The mathematical work of Evarist Giné

R. Nickl, S. Geer, J. Wellner, 2016 .

Empirical Processes in Action: A Review

J. Wellner, 1992 .

Efficient estimation of linear functionals of a probability measure P with known marginal distributions

P. Bickel, Y. Ritov, J. Wellner, 1991 .

Inefficient estimators of the bivariate survival function for three models

J. Wellner, R. Gill, M. Laan, 1995 .

Estimation of a k-monotone density: limit distribution theory and the Spline connection

J. Wellner, F. Balabdaoui, 2005, math/0509081.

Empirical processes indexed by estimated functions

Jon A. Wellner, Aad W. van der Vaart, J. Wellner, 2007, 0709.1013.

APPROXIMATION AND ESTIMATION OF s-CONCAVE DENSITIES VIA RÉNYI DIVERGENCES.

Qiyang Han, Jon A Wellner, J. Wellner, 2015, Annals of statistics.

Asymptotic normality of the NPMLE of linear functionals for interval censored data, case 1

Jian Huang, Jon A. Wellner, J. Wellner, 1995 .

Ratio Limit Theorems for Empirical Processes

Jon A. Wellner, Vladimir Koltchinskii, Evarist Giné, 2003 .

Submitted to the Annals of Statistics CONVERGENCE RATES OF LEAST SQUARES REGRESSION ESTIMATORS WITH HEAVY-TAILED ERRORS By Qiyang

J. Wellner, Han, 2018 .

Robustness of shape-restricted regression estimators: an envelope perspective

J. Wellner, Qiyang Han, Q. Han, 2018, 1805.02542.

Strong limit theorems for oscillation moduli of the uniform empirical process

Jon A. Wellner, Galen R. Shorack, J. Wellner, 1983 .

Global rates of convergence of the MLE for multivariate interval censoring.

J. Wellner, Fuchang Gao, 2012, Electronic journal of statistics.

Estimation of a k‐monotone density: characterizations, consistency and minimax lower bounds

Fadoua Balabdaoui, Jon A Wellner, J. Wellner, 2010, Statistica Neerlandica.

CURRENT STATUS DATA WITH COMPETING RISKS: LIMITING DISTRIBUTION OF THE MLE.

Piet Groeneboom, Marloes H Maathuis, Jon A Wellner, 2006, Annals of statistics.

On Longest Increasing Subsequences and Random Young Tableaux: Experimental Results and Recent Theorems

J. Wellner, 2002 .

Likelihood Ratio Tests for Monotone Functions

Jon A. Wellner, Moulinath Banerjee, J. Wellner, 2001 .

A canonical process for estimation of convex functions: the "invelope" of integrated Brownian motion + t4.

Geurt Jongbloed, Jon A. Wellner, Piet Groeneboom, 2001 .

Estimation of a Monotone Density or Monotone Hazard Under Random Censoring

Jian Huang, Jon A. Wellner, J. Wellner, 1995 .

Interval censoring, case 2: alternative hypotheses

Jon A. Wellner, J. Wellner, 1995 .

Hardy's inequality in terms of random variables

C. Klaassen, J. Wellner, 2020 .

ON THE GRENANDER ESTIMATOR AT ZERO.

Fadoua Balabdaoui, Marios Pavlides, Marios G. Pavlides, 2009, Statistica Sinica.

Univariate log-concave density estimation with symmetry or modal constraints

Charles R. Doss, J. Wellner, 2016, Electronic Journal of Statistics.

On convex least squares estimation when the truth is linear.

J. Wellner, Yining Chen, 2014, Electronic journal of statistics.

Permutation Tests for Directional Data

Jon A. Wellner, J. Wellner, 1979 .

Confidence bands for a survival curve from censored data

Jon A. Wellner, W. J. Hall, J. Wellner, 1980 .

Entropy of Convex Functions on ℝ d.

J. Wellner, Fuchang Gao, 2015, Constructive approximation.

Efron's monotonicity property for measures on $\mathbb{R}^2$

J. Wellner, Adrien Saumard, 2017, 1707.04472.

A Martingale Inequality for the Empirical Process

Jon A. Wellner, J. Wellner, 1977 .

Strong Log-concavity is Preserved by Convolution

J. Wellner, 2013 .

Z-estimation and stratified samples: application to survival models

J. Wellner, N. Breslow, Jie Hu, 2015, Lifetime data analysis.

Nonparametric estimation of the lifetime and disease onset distributions for a survival-sacrifice model

J. Wellner, P. Groeneboom, A. E. Gomes, 2019, Electronic Journal of Statistics.

Conjecture of error boundedness in a new Hermite interpolation problem via splines of odd-degree

J. Wellner, F. Balabdaoui, 2005, math/0509160.

A sharp multiplier inequality with applications to heavy-tailed regression problems

J. Wellner, Qiyang Han, Q. Han, 2017 .

Complex sampling designs: Uniform limit theorems and applications

J. Wellner, Qiyang Han, Q. Han, 2019, The Annals of Statistics.

Multivariate convex regression: global risk bounds and adaptation

J. Wellner, Qiyang Han, Q. Han, 2016, 1601.06844.

Mathematisches Forschungsinstitut Oberwolfach Report No . 49 / 2006 Qualitative Assumptions and Regularization in High-Dimensional Statistics

J. Wellner, L. Dümbgen, Melanie Birke, 2006 .

A Kiefer-Wolfowitz theorem for convex densities

J. Wellner, F. Balabdaoui, 2007, math/0701179.

Estimation of a k-monotone density, part 1: characterizations consistency, and minimax lower bounds

J. Wellner, F. Balabdaoui, 2005, math/0509080.

Estimation of Mean Residual Life

W. J. Hall, J. Wellner, 2017, Statistical Modeling for Biological Systems.

GOODNESS-OF-FIT TESTS VIA PHI-DIVERGENCES

J. Wellner, L. Jager, 2006, math/0603238.

The suppport reduction algorithm for computing nonparametric function estimates in mixture models

J. Wellner, P. Groeneboom, G. Jongbloed, 2004, math/0405511.

A New Approach to Tests and Confidence Bands for Distribution Functions

J. Wellner, L. Duembgen, 2014, 1402.2918.

Semiparametric models: progress and problems

Jon A. Wellner, J. Wellner, 1985 .

TWO LIKELIHOOD-BASED SEMIPARAMETRIC ESTIMATION METHODS FOR PANEL COUNT DATA WITH COVARIATES

Jon A. Wellner, Ying Zhang, J. Wellner, 2005, math/0509132.

Submitted to the Annals of Statistics COMPLEX SAMPLING DESIGNS : UNIFORM LIMIT THEOREMS AND APPLICATIONS By Qiyang

J. Wellner, Han, 2019 .

Asymptotic Optimality of the Product Limit Estimator

Jon A. Wellner, J. Wellner, 1982 .

Empirical Processes with Applications to Statistics.

Jon A. Wellner, Galen R. Shorack, J. Wellner, 1988 .

Necessary and sufficient conditions for weak consistency of the median of independent but not identically distributed random variables

Jon A. Wellner, Ivan Mizera, J. Wellner, 1998 .

Application of convolution theorems in semiparametric models with non-i.i.d. data

Jon A. Wellner, Brad McNeney, J. Wellner, 2000 .

A note on bounds for the VC dimensions of unions, intersections, and products of VC classes

Jon A. Wellner, A. W. van der Vaart, J. Wellner, 2009 .

TWO LIKELIHOOD-BASED SEMIPARAMETRIC ESTIMATION METHODS FOR PANEL COUNT DATA WITH COVARIATES

J. Wellner, Ying Zhang, 2005, math/0509132.

Weighted Likelihood for Semiparametric Models and Two‐phase Stratified Samples, with Application to Cox Regression

J. Wellner, N. Breslow, N. E. Breslow, 2005, math/0511389.

Information bounds for Cox regression models with missing data

J. Wellner, B. Nan, M. Emond, 2004, math/0406452.

Hardy's Inequality and Its Descendants

C. Klaassen, J. Wellner, 2020, 2006.11818.

GOODNESS-OF-FIT TESTS VIA PHI-DIVERGENCES

J. Wellner, L. Jager, Leah Jager, 2006, math/0603238.

Conjecture of error boundedness in a new Hermite interpolation problem via splines of odd-degree

J. Wellner, F. Balabdaoui, 2005, math/0509160.

Estimation of a k-monotone density: limit distribution theory and the Spline connection

J. Wellner, F. Balabdaoui, 2005, math/0509081.

Entropy estimate for high-dimensional monotonic functions

J. Wellner, Fuchang Gao, 2005, math/0512641.

Preservation Theorems for G livenko-Cantelli and Uniform G livenko-Cantelli Classes

J. Wellner, A. V. D. Vaart, A. Vaart, 2000 .

Efron's monotonicity property for measures on $\mathbb{R}^2$

J. Wellner, Adrien Saumard, 2017, 1707.04472.

High Dimensional Probability III

J. Wellner, E. Giné, D. Mason, 2003 .

Introduction to the Special Issue on Sparsity and Regularization Methods

J. Wellner, Tong Zhang, 2013, 1301.0211.

Supplementary Material for " Weighted Likelihood Estimation under Two-phase Sampling "

J. Wellner, Takumi Saegusa, 2012 .

Current status data with competing risks: Consistency and rates of convergence of the MLE

J. Wellner, M. Maathuis, P. Groeneboom, 2006, math/0609020.

Current Status Regression

J. Wellner, A. V. D. Vaart, S. Murphy, 1999 .

Entropy of Convex Functions on Rd\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathbb {R}^d$$\end{document}

J. Wellner, Fuchang Gao, 2017, Constructive Approximation.

Mode-constrained estimation of a log-concave density

Charles R. Doss, J. Wellner, 2016 .

Marshall's lemma for convex density estimation

J. Wellner, L. Duembgen, K. Rufibach, 2006, math/0609277.

A Note on the Asymptotic Distribution of Berk—Jones Type Statistics under the Null Hypothesis

Jon A. Wellner, Vladimir Koltchinskii, J. Wellner, 2003 .

Linear Bounds on the Empirical Distribution Function

J. Wellner, G. Shorack, 1978 .

Computation of nonparametric convex hazard estimators via profile methods

Jon A Wellner, J. Wellner, H. Jankowski, 2009, Journal of nonparametric statistics.

Iterative Spline Algorithms for Estimating a k-monotone Density

J. Wellner, F. Balabdaoui, 2022 .

Semiparametric models: a review of progress since BKRW (1993)

Jon A. Wellner, Chris A. J. Klaassen, Ya'acov Ritov, 2006 .

Gaussian white noise models: some results for monotone functions

J. Wellner, 2003 .

Limit Theorems and Inequalities for the Uniform Empirical Process Indexed by Intervals

J. Wellner, G. Shorack, 1982 .

Distributions Related to Linear Bounds for the Empirical Distribution Function

J. Wellner, 1977 .

Stochastic Analysis of Shell Sort

Robert T. Smythe, J. Wellner, J. Wellner, 2001, Algorithmica.

Chernoff's density is log-concave.

J. Wellner, F. Balabdaoui, 2012, Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability.

On the semi-parametric efficiency of logistic regression under case-control sampling

J. Robins, J. Wellner, N. Breslow, 2000 .

Some converse limit theorems for exchangeable bootstraps

J. Wellner, 2001 .

Inconsistency of the MLE for the Joint Distribution of Interval‐Censored Survival Times and Continuous Marks

J. Wellner, M. Maathuis, 2005, Scandinavian journal of statistics, theory and applications.

Nemirovski's Inequalities Revisited

Lutz Dümbgen, Sara A. van de Geer, Mark Veraar, 2008, Am. Math. Mon..

Uniform Donsker Classes of Functions

Jon A. Wellner, J. Wellner, Anne Sheehy, 1992 .

KAC Empirical Processes and the Bootstrap

C. Klaassen, J. Wellner, 1992 .

UNIFORMITY IN P OF SOME LIMIT THEOREMS FOR EMPIRICAL MEASURES AND PROCESSES

J. Wellner, A. Sheehy, 1987 .

Empirical Processes in Statistics: Methods, Examples, Further Problems

J. Wellner, 2002 .

Nonparametric estimation of multivariate scale mixtures of uniform densities

Jon A. Wellner, Marios G. Pavlides, J. Wellner, 2010, J. Multivar. Anal..

Estimation of a k − monotone density , part 3 : limiting Gaussian versions of the problem ; invelopes and envelopes

J. Wellner, F. Balabdaoui, 2004 .

Squaring the Circle and Cubing the Sphere: Circular and Spherical Copulas

Jon A. Wellner, Michael D. Perlman, J. Wellner, 2010, Symmetry.

How many Laplace transforms of probability measures are there?

J. Wellner, Wenbo V. Li, Fuchang Gao, 2010, Proceedings of the American Mathematical Society. American Mathematical Society.

Large Sample Theory for Semiparametric Regression Models with Two-Phase, Outcome Dependent Sampling

Norman E. Breslow, Jon A. Wellner, Brad McNeney, 2003 .

SEMIPARAMETRIC INFERENCE AND MODELS

P. Bickel, C. Klaassen, Y. Ritov, 2005 .

The Bennett-Orlicz Norm

Jon A Wellner, J. Wellner, 2017, Sankhya A.

A Local Maximal Inequality under

J. Wellner, A. V. D. Vaart, 2010 .

On an exponential bound for the Kaplan–Meier estimator

J. Wellner, 2007, Lifetime data analysis.

Regression Models with Interval Censoring

J. Wellner, Jian Huang, 1993 .

Discussion of: Empirical Processes and Applications by Evarist Gine

J. Wellner, 1993 .

A Heavy Censoring Limit Theorem for the Product Limit Estimator

J. Wellner, 1985 .

Working Paper Series IMPROVING POINT AND INTERVAL ESTIMATES OF MONOTONE FUNCTIONS BY REARRANGEMENT

J. Wellner, 2011 .

Two estimators of the mean of a counting process with panel count data

Jon A. Wellner, Ying Zhang, J. Wellner, 2000 .

Marshall's lemma for convex density estimation

J. Wellner, L. Duembgen, K. Rufibach, 2006, math/0609277.

Efficient testing and estimation in two Lehmann alternatives to symmetry-at-zero models

W. J. Hall, J. Wellner, 2013 .

Stein 1956: Efficient nonparametric testing and estimation

Jon A. Wellner, A. W. van der Vaart, J. Wellner, 2021, The Annals of Statistics.

Z-estimation and stratified samples: application to survival models

J. Wellner, N. Breslow, Jie Hu, 2015, Lifetime Data Analysis.

Significance Points for Some Tests of Uniformity on the Sphere. Revision.

Ushio Sumita, Julian Keilson, Jon A. Wellner, 1982 .

Eecient Estimation in the Bivariate Normal Copula Model: Normal Margins Are Least-favorable 1. Introduction: Copula Models. a Distribution Function C on the Unit Cube 0 1] M

J. Wellner, 1997 .

E cient Estimation in the Bivariate Normal CopulaModel : Normal Margins are Least-FavorableChris

C. Klaassen, J. Wellner, A. Klaassen, 1995 .

A general semiparametric Z-estimation approach for case-cohort studies.

Bin Nan, Jon A Wellner, J. Wellner, 2012, Statistica Sinica.

A Semiparametric Regression Model for Panel Count Data: When Do Pseudo-likelihood Estimators Become Badly Inefficient?

J. Wellner, Ying Zhang, Rong Liu, 2004 .

Interval Censored Survival Data: A Review of Recent Progress

Jian Huang, Jon A. Wellner, J. Wellner, 1997 .

High Dimensional Probability VI

R. Dudley, J. Wellner, C. Houdré, 2011 .

Inference for the mode of a log-concave density

Charles R. Doss, J. Wellner, 2016, The Annals of Statistics.

APPROXIMATION AND ESTIMATION OF S-CONCAVE

J. Wellner, Qiyang Han, R. DensitiesVia, 2015 .

STATISTICAL INFERENCE UNDER ORDER RESTRICTIONS LIMIT THEORY FOR THE GRENANDER ESTIMATOR UNDER ALTERNATIVE HYPOTHESES

J. Wellner, 2007 .

Mixtures and Monotonicity: a Review of Estimation under Monotonicity Constraints

J. Wellner, F. Balabdaoui, 2005 .

INTEGRATED BROWNIAN MOTION, CONDITIONED TO BE POSITIVE

J. Wellner, P. Groeneboom, G. Jongbloed, 1999 .

Integrated Brownian Motion , Conditioned to Be Positive Author ( s ) :

J. Wellner, P. Groeneboom, G. Jongbloed, 2010 .

MONTE CARLO OF TWO-DIMENSIONAL BROWNIAN SHEETS

Jon A. Wellner, J. Wellner, 1975 .

An excursion approach to maxima of the Brownian bridge.

J. Wellner, M. Perman, 2009, Stochastic processes and their applications.

On the distribution of Brownian areas

J. Wellner, M. Perman, 1996 .

A Z‐theorem with Estimated Nuisance Parameters and Correction Note for ‘Weighted Likelihood for Semiparametric Models and Two‐phase Stratified Samples, with Application to Cox Regression’

Norman E. Breslow, Jon A. Wellner, J. Wellner, 2008 .

Hardy’s inequality and its descendants: a probability approach

C. Klaassen, J. Wellner, 2021, Electronic Journal of Probability.

Bounding distributional errors via density ratios

J. Wellner, L. Duembgen, R. Samworth, 2019, Bernoulli.

Estimation of a discrete monotone distribution.

Jon A Wellner, J. Wellner, H. Jankowski, 2009, Electronic journal of statistics.

Spaces of Bounded Functions

J. Wellner, A. Vaart, 1996 .

WEIGHTED LIKELIHOOD ESTIMATION UNDER TWO-PHASE SAMPLING.

Takumi Saegusa, Jon A Wellner, J. Wellner, 2011, Annals of statistics.

Confidence Bands for Distribution Functions: A New Look at the Law of the Iterated Logarithm

J. Wellner, L. Duembgen, 2014 .

Oscillating Brownian motion

J. Wellner, J. Keilson, 1978, Journal of Applied Probability.

Submitted to the Annals of Statistics ESTIMATION OF A K − MONOTONE DENSITY , PART 4 : LIMIT DISTRIBUTION THEORY AND THE SPLINE CONNECTION By

J. Wellner, F. Balabdaoui, 2005 .

Oscillating Brownian Motion Author ( s ) :

J. Wellner, J. Keilson, 1978 .

Uniform convergence in some limit theorems for multiple particle systems

J. Wellner, E. Giné, 1997 .

Uniform Convergence in some Limit Theoremsfor Multiple Particle

J. Wellner, SystemsEvarist Gin, 1996 .

A new approach to tests and confidence bands for distribution functions

J. Wellner, L. Duembgen, 2014, The Annals of Statistics.

A Glivenko-Cantelli Theorem and Strong Laws of Large Numbers for Functions of Order Statistics

Jon A. Wellner, J. Wellner, 1977 .

A new goodness of fit test: the reversed Berk-Jones statistic

J. Wellner, Leah Jager, 2005 .

On the "Poisson boundaries" of the family of weighted Kolmogorov statistics

Jon A. Wellner, Leah Ruth Jager, J. Wellner, 2004 .

Submitted to the Annals of Statistics SUPPLEMENT TO “ APPROXIMATION AND ESTIMATION OF S-CONCAVE DENSITIES VIA RÉNYI DIVERGENCES ” By Qiyang

J. Wellner, Han, 2015 .

Discussion of Michael Kosorok ’ s Article : What ’ s so Special about Semiparametric Methods ?

J. Wellner, 2009 .

Multivariate log-concave distributions as a nearly parametric model

S. Geer, J. Wellner, L. Dümbgen, 2008, Am. Math. Mon..

GLOBAL RATES OF CONVERGENCE OF THE MLES OF LOG-CONCAVE AND s-CONCAVE DENSITIES.

Charles R. Doss, J. Wellner, 2013, Annals of statistics.

UvA-DARE (Digital Academic Repository) Hardy's inequality and its descendants