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Outlier Detection with the Kernelized Spatial Depth Function

IEEE transactions on pattern analysis and machine intelligence, 2009-02, Vol.31 (2), p.288-305

2009

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Consistency and asymptotic distribution of the Theil–Sen estimator

Journal of statistical planning and inference, 2008-07, Vol.138 (6), p.1836-1850

2008

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Improving efficient marginal estimators in bivariate models with parametric marginals

Statistics & probability letters, 2009-12, Vol.79 (23), p.2437-2442

2009

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The A-optimal subsampling approach to the analysis of count data of massive size

Journal of nonparametric statistics, 2024-07, p.1-29

2024

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Asymptotic normality of quadratic forms with random vectors of increasing dimension

Journal of multivariate analysis, 2018-03, Vol.164, p.22-39

2018

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Jackknife empirical likelihood goodness-of-fit tests for U-statistics based general estimating equations

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2018-02, Vol.24 (1), p.449-464

2018

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Maximum empirical likelihood estimation and related topics

Electronic journal of statistics, 2018-01, Vol.12 (2)

2018

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Empirical likelihood approach to goodness of fit testing

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2013-08, Vol.19 (3), p.954-981

2013

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The distribution of partially exchangeable random variables

Statistics & probability letters, 2010-06, Vol.80 (11), p.932-938

2010

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Large-sample estimation and inference in multivariate single-index models

Journal of multivariate analysis, 2019-05, Vol.171, p.382-396

2019

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A full likelihood procedure of exchangeable negative binomials for modelling correlated and overdispersed count data

Journal of statistical planning and inference, 2010-10, Vol.140 (10), p.2849-2859

2010

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Moment estimation in a semiparametric generalized linear model

Statistics & probability letters, 2008-09, Vol.78 (12), p.1624-1633

2008

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Efficient estimation of linear functionals of a bivariate distribution with equal, but unknown marginals: the least-squares approach

Journal of multivariate analysis, 2005-08, Vol.95 (2), p.385-409

2005

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Inference about the slope in linear regression: an empirical likelihood approach

Annals of the Institute of Statistical Mathematics, 2019-02, Vol.71 (1), p.181-211

2019

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A unified approach for analyzing exchangeable binary data with applications to developmental toxicity studies

Statistics in medicine, 2009-09, Vol.28 (20), p.2580-2604

2009

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Efficient inference in a semiparametric generalised linear model

Journal of nonparametric statistics, 2008-02, Vol.20 (2), p.115-127

Peng, Hanxiang

2008

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On efficient estimation of linear functionals of a bivariate distribution with known marginals

Statistics & probability letters, 2002-08, Vol.59 (1), p.83-91

2002

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The multivariate slash and skew-slash student t distributions

Journal of statistical distributions and applications, 2015-02, Vol.2 (1), p.1, Article 3

2015

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Efficient estimators for functionals of Markov chains with parametric marginals

Statistics & probability letters, 2004-02, Vol.66 (3), p.335-345

2004

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Robust clustering in high dimensional data using statistical depths

BMC bioinformatics, 2007-11, Vol.8 Suppl 7 (S7), p.S8-S8, Article S8

2007

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Depth-Based Novelty Detection and Its Application to Taxonomic Research

Seventh IEEE International Conference on Data Mining (ICDM 2007), 2007, p.113-122

2007

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Efficient estimation of linear functionals of a bivariate probability with equal marginals

Peng, Hanxiang

2001

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Efficient estimation of a linear functional of a bivariate distribution with equal, but unknown, marginals: The minimum chi-square approach

Statistics & decisions, 2004-04, Vol.22 (4/2004)

2004

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Estimation of linear functionals of bivariate distributions with parametric marginals

Statistics & decisions, 2004-01, Vol.22 (1-2004), p.61-78

2004

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On the construction of efficient estimators in semiparametric models

Statistics & decisions, 2003-02, Vol.21 (2-2003), p.109-138

2003

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Outlier Detection with the Kernelized Spatial Depth Function

Consistency and asymptotic distribution of the Theil–Sen estimator

Improving efficient marginal estimators in bivariate models with parametric marginals

The A-optimal subsampling approach to the analysis of count data of massive size

Asymptotic normality of quadratic forms with random vectors of increasing dimension

Jackknife empirical likelihood goodness-of-fit tests for U-statistics based general estimating equations

Maximum empirical likelihood estimation and related topics

Empirical likelihood approach to goodness of fit testing

The distribution of partially exchangeable random variables

Large-sample estimation and inference in multivariate single-index models

A full likelihood procedure of exchangeable negative binomials for modelling correlated and overdispersed count data

Moment estimation in a semiparametric generalized linear model

Efficient estimation of linear functionals of a bivariate distribution with equal, but unknown marginals: the least-squares approach

Inference about the slope in linear regression: an empirical likelihood approach

A unified approach for analyzing exchangeable binary data with applications to developmental toxicity studies

Efficient inference in a semiparametric generalised linear model

On efficient estimation of linear functionals of a bivariate distribution with known marginals

The multivariate slash and skew-slash student t distributions

Efficient estimators for functionals of Markov chains with parametric marginals

Robust clustering in high dimensional data using statistical depths

Depth-Based Novelty Detection and Its Application to Taxonomic Research

Efficient estimation of linear functionals of a bivariate probability with equal marginals

Efficient estimation of a linear functional of a bivariate distribution with equal, but unknown, marginals: The minimum chi-square approach

Estimation of linear functionals of bivariate distributions with parametric marginals

On the construction of efficient estimators in semiparametric models

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