Journal of Nonparametric Statistics
1997 - 2025
Current editor(s): Jun Shao From Taylor & Francis Journals Bibliographic data for series maintained by Chris Longhurst (). Access Statistics for this journal.
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Volume 29, issue 4, 2017
- Adaptive nonparametric estimation in the presence of dependence pp. 694-730

- Nicolas Asin and Jan Johannes
- A pathwise inference method for the parameters of diffusion terms pp. 731-743

- Nikolai Dokuchaev
- Robust estimators for additive models using backfitting pp. 744-767

- Graciela Boente, Alejandra Martínez and Matías Salibián-Barrera
- Model selection consistency of -statistics with convex loss and weighted lasso penalty pp. 768-791

- W. Rejchel
- Recursive distribution estimator defined by stochastic approximation method using Bernstein polynomials pp. 792-805

- Asma Jmaei, Yousri Slaoui and Wassima Dellagi
- Local orthogonal polynomial expansion for density estimation pp. 806-830

- D.P. Amali Dassanayake, Igor Volobouev and A. Alexandre Trindade
- Bernstein polynomial model for grouped continuous data pp. 831-848

- Zhong Guan
- Sure explained variability and independence screening pp. 849-883

- Min Chen, Yimin Lian, Zhao Chen and Zhengjun Zhang
- Test for bandedness of high-dimensional precision matrices pp. 884-902

- Guanghui Cheng, Zhengjun Zhang and Baoxue Zhang
Volume 29, issue 3, 2017
- Confidence intervals for the treatment effect on the treated pp. 477-490

- J. A. Ferreira
- Estimation and inference of the joint conditional distribution for multivariate longitudinal data using nonparametric copulas pp. 491-514

- Minjung Kwak
- A likelihood ratio like permutation test for one way designs pp. 515-530

- Inga Samonenko and John Robinson
- Varying kernel marginal density estimator for a positive time series pp. 531-552

- N. Balakrishna and Hira L. Koul
- A permutation test for the spread of three-dimensional rotation data pp. 553-560

- Marissa D. Eckrote and Melissa A. Bingham
- Interquantile shrinkage in additive models pp. 561-576

- Zengyan Fan and Heng Lian
- Reducing bias for maximum approximate conditional likelihood estimator with general missing data mechanism pp. 577-593

- Jiwei Zhao
- Dimension-reduced empirical likelihood inference for response mean with data missing at random pp. 594-614

- Lei Wang and Guangming Deng
- Kernel-based global MLE of partial linear random effects models for longitudinal data pp. 615-635

- Lei Liu and Zhihua Sun
- Bandwidth selection for kernel density estimation with length-biased data pp. 636-668

- M. I. Borrajo, W. González-Manteiga and M. D. Martínez-Miranda
- Semiparametric smoothing approach to hazard rate estimation pp. 669-693

- Hairui Hua, Prakash N. Patil and Dimitrios Bagkavos
Volume 29, issue 2, 2017
- Jackknife empirical likelihood for the error variance in linear models pp. 151-166

- Hui-Ling Lin, Zhouping Li, Dongliang Wang and Yichuan Zhao
- Cramér–von Mises distance: probabilistic interpretation, confidence intervals, and neighbourhood-of-model validation pp. 167-188

- L. Baringhaus and N. Henze
- Weighted composite quantile regression analysis for nonignorable missing data using nonresponse instrument pp. 189-212

- Puying Zhao, Hui Zhao, Niansheng Tang and Zhaohai Li
- A nonparametric procedure for testing partially ranked data pp. 213-230

- Jyh-Shyang Wu and Wen-Shuenn Deng
- Rank regression in order restricted randomised designs pp. 231-257

- Jinguo Gao and Omer Ozturk
- Structural identification and variable selection in high-dimensional varying-coefficient models pp. 258-279

- Yuping Chen, Yang Bai and Wingkam Fung
- Nonparametric regression method for broad sense agreement pp. 280-300

- A. K. M. Fazlur Rahman, Limin Peng, Amita Manatunga and Ying Guo
- An alternative local polynomial estimator for the error-in-variables problem pp. 301-325

- Xianzheng Huang and Haiming Zhou
- Penalised empirical likelihood for the additive hazards model with high-dimensional data pp. 326-345

- Jianglin Fang, Wanrong Liu and Xuewen Lu
- Testing independence based on Bernstein empirical copula and copula density pp. 346-380

- M. Belalia, T. Bouezmarni, F. C. Lemyre and Abderrahim Taamouti
- A note on iterative AK composite estimator for Current Population Survey pp. 381-390

- Yang Cheng, Bo Huang and Zhou Yu
- Shape testing in quantile varying coefficient models with heteroscedastic error pp. 391-406

- I. Gijbels, M. A. Ibrahim and A. Verhasselt
- Interval-wise testing for functional data pp. 407-424

- A. Pini and S. Vantini
- Convergence rate of the kernel regression estimator for associated and truncated data pp. 425-446

- Z. Guessoum and F. Hamrani
- Discontinuities in robust nonparametric regression with α-mixing dependence pp. 447-475

- Marie Hušková and Matúš Maciak
Volume 29, issue 1, 2017
- Confidence and prediction intervals based on interpolated records pp. 1-21

- Jafar Ahmadi, Elham Basiri and Debasis Kundu
- Estimation of a star-shaped distribution function pp. 22-39

- Hammou El Barmi, Ganesh Malla and Hari Mukerjee
- Testing exchangeability of copulas in arbitrary dimension pp. 40-60

- Michael Harder and Ulrich Stadtmüller
- Weighted bootstrapped kernel density estimators in two-sample problems pp. 61-84

- Majid Mojirsheibani and William Pouliot
- Uniform in bandwidth consistency for various kernel estimators involving functional data pp. 85-107

- Lydia Kara-Zaitri, Ali Laksaci, Mustapha Rachdi and Philippe Vieu
- Semiparametric estimation of moment condition models with weakly dependent data pp. 108-136

- Francesco Bravo, Ba Chu and David Jacho-Chávez
- Empirical likelihood weighted composite quantile regression with partially missing covariates pp. 137-150

- Jing Sun and Yunyan Ma
Volume 28, issue 4, 2016
- Tests for stochastic ordering under biased sampling pp. 659-682

- Hsin-wen Chang, Hammou El Barmi and Ian W. McKeague
- Theoretical grounding for estimation in conditional independence multivariate finite mixture models pp. 683-701

- Xiaotian Zhu and David R. Hunter
- Complete convergence for weighted sums of END random variables and its application to nonparametric regression models pp. 702-715

- Aiting Shen
- Asymptotics for a class of dynamic recurrent event models pp. 716-735

- Edsel A. Peña
- A class of nonparametric bivariate survival function estimators for randomly censored and truncated data pp. 736-751

- Hongsheng Dai, Marialuisa Restaino and Huan Wang
- A nonparametric hypothesis test for heteroscedasticity pp. 752-767

- Seonjin Kim and Adriano Z. Zambom
- Nonparametric estimation in a multiplicative censoring model with symmetric noise pp. 768-801

- F. Comte and C. Dion
- Asymptotic normality of the product-limit-estimator pp. 802-812

- Qiqing Yu and Yuting Hsu
- Classical testing in functional linear models pp. 813-838

- Dehan Kong, Ana-Maria Staicu and Arnab Maity
- Sparse nonparametric model for regression with functional covariate pp. 839-859

- G. Aneiros and P. Vieu
- Improving estimation efficiency for semi-competing risks data with partially observed terminal event pp. 860-874

- Menggang Yu
- Corrigendum pp. 875-877

- The Editors
Volume 28, issue 3, 2016
- Liu-type estimator in semiparametric partially linear additive models pp. 459-468

- Chuanhua Wei and Xiaonan Wang
- Asymptotic normality of kernel estimators based upon incomplete data pp. 469-486

- M. Boukeloua and F. Messaci
- The adaptive BerHu penalty in robust regression pp. 487-514

- Sophie Lambert-Lacroix and Laurent Zwald
- Entropy-based model-free feature screening for ultrahigh-dimensional multiclass classification pp. 515-530

- Lyu Ni and Fang Fang
- Shrinkage and pretest estimators for longitudinal data analysis under partially linear models pp. 531-549

- S. Hossain, S. Ejaz Ahmed, Grace Y. Yi and B. Chen
- Rank-based group variable selection pp. 550-562

- Guy-vanie M. Miakonkana, Brice M. Nguelifack and Asheber Abebe
- Entropic representation and estimation of diversity indices pp. 563-575

- Zhiyi Zhang and Michael Grabchak
- Bootstrap for U -statistics: a new approach pp. 576-594

- Sh. Olimjon Sharipov, Johannes Tewes and Martin Wendler
- Variable selection for additive model via cumulative ratios of empirical strengths total pp. 595-616

- Miao Yang, Lan Xue and Lijian Yang
- Inference on quantile residual life function under right-censored data pp. 617-643

- Cunjie Lin, Li Zhang and Yong Zhou
- A new local estimation method for single index models for longitudinal data pp. 644-658

- Hongmei Lin, Riquan Zhang, Jianhong Shi, Jicai Liu and Yanghui Liu
Volume 28, issue 2, 2016
- Nonparametric kernel density estimation for general grouped data pp. 235-249

- Miguel Reyes, Mario Francisco-Fernández and Ricardo Cao
- Efficient and robust density estimation using Bernstein type polynomials pp. 250-271

- Zhong Guan
- Semiparametric Whittle estimation of a cyclical long-memory time series based on generalised exponential models pp. 272-295

- Masaki Narukawa
- Asymptotic behaviour of binned kernel density estimators for locally non-stationary random fields pp. 296-321

- Michel Harel, Jean-François Lenain and Joseph Ngatchou-Wandji
- An F-type test for detecting departure from monotonicity in a functional linear model pp. 322-337

- Eduardo L. Montoya and Wendy Meiring
- Norm-preserving constraint in the Fisher--Rao registration and its application in signal estimation pp. 338-359

- Jason Cleveland, Wei Wu and Anuj Srivastava
- Mann--Whitney test with empirical likelihood methods for pretest--posttest studies pp. 360-374

- Min Chen, Changbao Wu and Mary E. Thompson
- Variable selection in partially linear hazard regression for multivariate failure time data pp. 375-394

- Liu Jicai, Riquan Zhang, Weihua Zhao and Yazhao Lv
- Some maximum-indifference estimators for the slope of a univariate linear model pp. 395-412

- Claudio G. Borroni and D. Michele Cifarelli
- Two-dimensional Kolmogorov-type goodness-of-fit tests based on characterisations and their asymptotic efficiencies pp. 413-427

- Bojana Milošević and Marko Obradović
- Nonparametric prediction of spatial multivariate data pp. 428-458

- Sophie Dabo-Niang, Camille Ternynck and Anne-Françoise Yao
Volume 28, issue 1, 2016
- Bias reductions for beta kernel estimation pp. 1-30

- Gaku Igarashi
- Convergence rates for uniform confidence intervals based on local polynomial regression estimators pp. 31-48

- K. De Brabanter, Y. Liu and C. Hua
- Robust group non-convex estimations for high-dimensional partially linear models pp. 49-67

- Mingqiu Wang and Guo-Liang Tian
- Proportional cause-specific reversed hazards model pp. 68-83

- P.G. Sankaran and S. Anjana
- Supersmooth testing on the sphere over analytic classes pp. 84-115

- Peter T. Kim, Ja-Yong Koo and Thanh Mai Pham Ngoc
- Asymptotic normality of locally modelled regression estimator for functional data pp. 116-131

- Zhiyong Zhou and Zhengyan Lin
- Adaptive likelihood estimator of conditional variance function pp. 132-151

- Panagiotis Avramidis
- On tail index estimation based on multivariate data pp. 152-176

- A. Dematteo and S. Clémençon
- Bayesian spectral analysis models for quantile regression with Dirichlet process mixtures pp. 177-206

- Seongil Jo, Taeyoung Roh and Taeryon Choi
- Hermite expansion and estimation of monotonic transformations of Gaussian data pp. 207-234

- Ryan Janicki and Tucker McElroy
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