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Efficient Estimation of a Semiparametric Partially Linear Varying Coefficient Model

The Annals of statistics, 2005-02, Vol.33 (1), p.258-283

2005

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Assessing classifiers in terms of the partial area under the ROC curve

Computational statistics & data analysis, 2013-08, Vol.64, p.51-70

Yousef, Waleed A.

2013

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Estimation of a Convex Function: Characterizations and Asymptotic Theory

The Annals of statistics, 2001-12, Vol.29 (6), p.1653-1698

2001

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Statistics on manifolds and landmarks based image analysis: A nonparametric theory with applications

Journal of statistical planning and inference, 2014-02, Vol.145, p.1-22

2014

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Self-concordance for empirical likelihood

Canadian journal of statistics, 2013-09, Vol.41 (3), p.387-397

Owen, Art B.

2013

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Nonparametric Estimation of Mean-Squared Prediction Error in Nested-Error Regression Models

The Annals of statistics, 2006-08, Vol.34 (4), p.1733-1750

2006

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OPTIMAL INFERENCE IN A CLASS OF REGRESSION MODELS

Econometrica, 2018-03, Vol.86 (2), p.655-683

2018

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Semiparametrically Efficient Rank-Based Inference for Shape II. Optimal R-Estimation of Shape

The Annals of statistics, 2006-12, Vol.34 (6), p.2757-2789

2006

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Risk Hull Method and Regularization by Projections of Ill-Posed Inverse Problems

The Annals of statistics, 2006-08, Vol.34 (4), p.1653-1677

2006

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Nonparametric Quasi-Maximum Likelihood Estimation for Gaussian Locally Stationary Processes

The Annals of statistics, 2006-12, Vol.34 (6), p.2790-2824

2006

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Bandwidth Choice for Nonparametric Classification

The Annals of statistics, 2005-02, Vol.33 (1), p.284-306

2005

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Simultaneous Analysis of Lasso and Dantzig Selector

The Annals of statistics, 2009-08, Vol.37 (4), p.1705-1732

2009

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Density Level Sets: Asymptotics, Inference, and Visualization

Journal of the American Statistical Association, 2017-12, Vol.112 (520), p.1684-1696

2017

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KERNEL DENSITY ESTIMATION VIA DIFFUSION

The Annals of statistics, 2010-10, Vol.38 (5), p.2916-2957

2010

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Nonparametric predictive inference for reliability of a k-out-of-m:G system with multiple component types

Reliability engineering & system safety, 2014-11, Vol.131, p.298-304

2014

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Testing Convex Hypotheses on the Mean of a Gaussian Vector. Application to Testing Qualitative Hypotheses on a Regression Function

The Annals of statistics, 2005-02, Vol.33 (1), p.214-257

2005

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Nonparametric predictive pairwise comparison with competing risks

Reliability engineering & system safety, 2014-12, Vol.132, p.146-153

Coolen-Maturi, Tahani

2014

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Dependent mixtures of Dirichlet processes

Computational statistics & data analysis, 2011-06, Vol.55 (6), p.2011-2025

2011

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The Bernstein-Von Mises Theorem for the Proportional Hazard Model

The Annals of statistics, 2006-08, Vol.34 (4), p.1678-1700

Kim, Yongdai

2006

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Nonparametric Representation of Neutron Star Equation of State Using Variational Autoencoder

The Astrophysical journal, 2023-06, Vol.950 (2), p.77

2023

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Bayesian exponentially tilted empirical likelihood

Biometrika, 2005-03, Vol.92 (1), p.31-46

Schennach, Susanne M.

2005

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Bayesian Inference for Kendall's Rank Correlation Coefficient

The American statistician, 2018-10, Vol.72 (4), p.303-308

2018

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Optimal nonparametric inference via deep neural network

Journal of mathematical analysis and applications, 2022-01, Vol.505 (2), p.125561, Article 125561

2022

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Prediction sets adaptive to unknown covariate shift

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2023-11, Vol.85 (5), p.1680-1705

2023

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Likelihood Ratio Tests for Monotone Functions

The Annals of statistics, 2001-12, Vol.29 (6), p.1699-1731

2001

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Efficient Estimation of a Semiparametric Partially Linear Varying Coefficient Model

Assessing classifiers in terms of the partial area under the ROC curve

Estimation of a Convex Function: Characterizations and Asymptotic Theory

Statistics on manifolds and landmarks based image analysis: A nonparametric theory with applications

Self-concordance for empirical likelihood

Nonparametric Estimation of Mean-Squared Prediction Error in Nested-Error Regression Models

OPTIMAL INFERENCE IN A CLASS OF REGRESSION MODELS

Semiparametrically Efficient Rank-Based Inference for Shape II. Optimal R-Estimation of Shape

Risk Hull Method and Regularization by Projections of Ill-Posed Inverse Problems

Nonparametric Quasi-Maximum Likelihood Estimation for Gaussian Locally Stationary Processes

Bandwidth Choice for Nonparametric Classification

Simultaneous Analysis of Lasso and Dantzig Selector

Density Level Sets: Asymptotics, Inference, and Visualization

KERNEL DENSITY ESTIMATION VIA DIFFUSION

Nonparametric predictive inference for reliability of a k-out-of-m:G system with multiple component types

Testing Convex Hypotheses on the Mean of a Gaussian Vector. Application to Testing Qualitative Hypotheses on a Regression Function

Nonparametric predictive pairwise comparison with competing risks

Dependent mixtures of Dirichlet processes

The Bernstein-Von Mises Theorem for the Proportional Hazard Model

Nonparametric Representation of Neutron Star Equation of State Using Variational Autoencoder

Bayesian exponentially tilted empirical likelihood

Bayesian Inference for Kendall's Rank Correlation Coefficient

Optimal nonparametric inference via deep neural network

Prediction sets adaptive to unknown covariate shift

Likelihood Ratio Tests for Monotone Functions

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