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 31, issue 4, 2019
- Construction of credible intervals for nonlinear regression models with unknown error distributions pp. 813-848

- Ji-Yeon Yang and Jungmo Yoon
- Reduce the computation in jackknife empirical likelihood for comparing two correlated Gini indices pp. 849-866

- Kangni Alemdjrodo and Yichuan Zhao
- Efficient semiparametric regression for longitudinal data with regularised estimation of error covariance function pp. 867-886

- Shengji Jia, Chunming Zhang and Hulin Wu
- Spatially adaptive binary classifier using B-splines and total variation penalty pp. 887-910

- Kwan-Young Bak, Jae-Hwan Jhong and Ja-Yong Koo
- Estimators based on unconventional likelihoods with nonignorable missing data and its application to a children's mental health study pp. 911-931

- Jiwei Zhao and Chi Chen
- Quantile estimation of partially varying coefficient model for panel count data with informative observation times pp. 932-951

- Weiwei Wang, Xianyi Wu, Xiaobing Zhao and Xian Zhou
- Nonparametric survival function estimation for data subject to interval censoring case 2 pp. 952-987

- Olivier Bouaziz, Elodie Brunel and Fabienne Comte
Volume 31, issue 3, 2019
- Improved statistical inference on semiparametric varying-coefficient partially linear measurement error model pp. 549-566

- Zhihua Sun, Yifan Jiang and Xue Ye
- Anisotropic functional deconvolution with long-memory noise: the case of a multi-parameter fractional Wiener sheet pp. 567-595

- Rida Benhaddou and Qing Liu
- Spline density estimation and inference with model-based penalties pp. 596-611

- Jian Shi, Anna Liu and Yuedong Wang
- Improved robust model selection methods for a Lévy nonparametric regression in continuous time pp. 612-628

- E. A. Pchelintsev, V. A. Pchelintsev and S. M. Pergamenshchikov
- Integral generators of Archimedean n-copulas pp. 629-662

- Włodzimierz Wysocki
- Regression analysis of informatively interval-censored failure time data with semiparametric linear transformation model pp. 663-679

- Da Xu, Shishun Zhao, Tao Hu and Jianguo Sun
- Adjusting for baseline information in comparing the efficacy of treatments using bivariate varying-coefficient models pp. 680-694

- Xiaomeng Niu and Hyunkeun Ryan Cho
- Hierarchical time-varying mixed-effects models in high-dimensional time series and longitudinal data studies pp. 695-721

- Jinglan Li and Zhengjun Zhang
- Permutation inference distribution for linear regression and related models pp. 722-742

- Qiang Wu and Paul Vos
- A new nonparametric monitoring of data streams for changes in location and scale via Cucconi statistic pp. 743-760

- Dongdong Xiang, Shulin Gao, Wendong Li, Xiaolong Pu and Wen Dou
- On double-index dimension reduction for partially functional data pp. 761-768

- Guangren Yang, Hongmei Lin and Heng Lian
- Detecting price jumps in the presence of market microstructure noise pp. 769-793

- Yucheng Sun
- A test of exponentiality against ℳ alternatives pp. 794-812

- Priyanka Majumder and Murari Mitra
Volume 31, issue 2, 2019
- Sufficient dimension reduction via distance covariance with multivariate responses pp. 268-288

- Xianyan Chen, Qingcong Yuan and Xiangrong Yin
- Asymptotics of bivariate penalised splines pp. 289-314

- Luo Xiao
- Consistency of The MMGLE under the piecewise proportional hazards models with interval-censored data pp. 315-321

- Qiqing Yu and Qinggang Diao
- Test for independence between time to failure and cause of failure in competing risks with k causes pp. 322-339

- S. Anjana, Isha Dewan and K. K. Sudheesh
- On the rates of asymptotic normality for recursive kernel density estimators under ϕ-mixing assumptions pp. 340-363

- Mengmei Xi and Xuejun Wang
- Automatic and location-adaptive estimation in functional single-index regression pp. 364-392

- Silvia Novo, Germán Aneiros and Philippe Vieu
- Estimation of extreme quantiles in a simulation model pp. 393-419

- Michael Kohler and Adam Krzyżak
- Semiparametric likelihood for estimating equations with non-ignorable non-response by non-response instrument pp. 420-434

- Ji Chen and Fang Fang
- Correlation curve estimation for multiplicative distortion measurement errors data pp. 435-450

- Zhenghui Feng, Yujie Gai and Jun Zhang
- Uniform consistency rate of kNN regression estimation for functional time series data pp. 451-468

- Nengxiang Ling, Shuyu Meng and Philippe Vieu
- Orthogonal series density estimation for complex surveys pp. 469-481

- Shangyuan Ye, Ye Liang and Ibrahim A. Ahmad
- A distribution-free approach for selecting better treatment through an ethical allocation pp. 482-505

- Radhakanta Das
- Cytometry inference through adaptive atomic deconvolution pp. 506-547

- Manon Costa, Sébastien Gadat, Pauline Gonnord and Laurent Risser
Volume 31, issue 1, 2019
- A new distribution-free control scheme based on order statistics pp. 1-30

- Ioannis S. Triantafyllou
- The table auto-regressive moving-average model for (categorical) stationary series: statistical properties (causality; from the all random to the conditional random) pp. 31-63

- Chrysoula Dimitriou-Fakalou
- Bootstrap maximum likelihood for quasi-stationary distributions pp. 64-87

- Guangbao Guo, James Allison and Lixing Zhu
- On the estimation of extropy pp. 88-99

- Hadi Alizadeh Noughabi and Jalil Jarrahiferiz
- Using the area under an estimated ROC curve to test the adequacy of binary predictors pp. 100-130

- Robert Lieli and Yu-Chin Hsu
- Estimation in additive models with fixed censored responses pp. 131-143

- Hailin Huang, Yanlin Tang, Yuanzhang Li and Hua Liang
- Tail density estimation for exploratory data analysis using kernel methods pp. 144-174

- B. Béranger, T. Duong, S. E. Perkins-Kirkpatrick and S. A. Sisson
- FDA: strong consistency of the NN local linear estimation of the functional conditional density and mode pp. 175-195

- Zouaoui Chikr-Elmezouar, Ibrahim M. Almanjahie, Ali Laksaci and Mustapha Rachdi
- Variable selection for partially linear proportional hazards model with covariate measurement error pp. 196-220

- Xiao Song, Li Wang, Shuangge Ma and Hanwen Huang
- Robust regression analysis for a censored response and functional regressors pp. 221-243

- L. Aït Hennani, M. Lemdani and E. Ould Saïd
- Moran's statistic-based nonparametric test with spatio-temporal observations pp. 244-267

- Y. Xiong, D. Bingham, W. J. Braun and X. J. Hu
Volume 30, issue 4, 2018
- Single-index regression for pooled biomarker data pp. 813-833

- Juexin Lin and Dewei Wang
- A consistent goodness-of-fit test for huge dimensional and functional data pp. 834-859

- Marc Ditzhaus and Daniel Gaigall
- Some new measures of dependence for random variables based on Spearman's ρ and Kendall's τ pp. 860-883

- Dawei Lu, Lingyue Zhang, Xiaoguang Wang and Lixin Song
- Nonparametric independence screening for ultra-high-dimensional longitudinal data under additive models pp. 884-905

- Yong Niu, Riquan Zhang, Jicai Liu and Huapeng Li
- Geographically weighted regression model-assisted estimation in survey sampling pp. 906-925

- Chao Liu, Chuanhua Wei and Yunan Su
- Nonparametric change point detection in multivariate piecewise stationary time series pp. 926-956

- Raanju R. Sundararajan and Mohsen Pourahmadi
- Profile likelihood ratio tests for parameter inferences in generalised single-index models pp. 957-972

- Nanxi Zhang and Alan Huang
- EDF goodness-of-fit tests based on centre-outward ordering pp. 973-989

- Jun Li
- On sliced inverse regression with missing values pp. 990-1002

- Yuexiao Dong and Zeda Li
- Decentralized nonparametric multiple testing pp. 1003-1015

- Subhadeep Mukhopadhyay
- The role of minimal sets in dose finding studies pp. 1016-1031

- Matthieu Clertant and John O'Quigley
- Laplace deconvolution with dependent errors: a minimax study pp. 1032-1048

- Rida Benhaddou
- Fourier transform approach for inverse dimension reduction method pp. 1049-1071

- Jiaying Weng and Xiangrong Yin
Volume 30, issue 3, 2018
- Nonparametric low-frequency Lévy copula estimation in a general framework pp. 523-555

- Christian Palmes, Benedikt Funke and Babak Sayyid Hosseini
- Semiparametric jump-preserving estimation for single-index models pp. 556-580

- Guoxiang Liu, Xiuli Du, Mengmeng Wang, Jinguan Lin and Qibing Gao
- Comparison of empirical likelihood and its dual likelihood under density ratio model pp. 581-597

- Huapeng Li, Yang Liu, Yukun Liu and Riquan Zhang
- Generalised gamma kernel density estimation for nonnegative data and its bias reduction pp. 598-639

- Gaku Igarashi and Yoshihide Kakizawa
- A nonparametric time-varying coefficient model for panel count data pp. 640-661

- Huadong Zhao, Wanzhu Tu and Zhangsheng Yu
- F-distribution calibrated empirical likelihood ratio tests for multiple hypothesis testing pp. 662-679

- Lei Wang and Dan Yang
- Efficient estimation for time-varying coefficient longitudinal models pp. 680-702

- Seonjin Kim, Zhibiao Zhao and Zhijie Xiao
- Regression analysis of clustered interval-censored failure time data with linear transformation models in the presence of informative cluster size pp. 703-715

- Hui Zhao, Chenchen Ma, Junlong Li and Jianguo Sun
- Bayesian sieve methods: approximation rates and adaptive posterior contraction rates pp. 716-741

- Taihe Yi, Zhengming Wang and Dongyun Yi
- Analytic computation of nonparametric Marsan–Lengliné estimates for Hawkes point processes pp. 742-757

- Frederic Paik Schoenberg, Joshua Seth Gordon and Ryan J. Harrigan
- Inference on semiparametric transformation model with general interval-censored failure time data pp. 758-773

- Peijie Wang, Hui Zhao, Mingyue Du and Jianguo Sun
- Asymptotic normality for plug-in estimators of diversity indices on countable alphabets pp. 774-795

- Michael Grabchak and Zhiyi Zhang
- Semiparametric inference for estimating equations with nonignorably missing covariates pp. 796-812

- Ji Chen, Fang Fang and Zhiguo Xiao
Volume 30, issue 2, 2018
- Tail-weighted dependence measures with limit being the tail dependence coefficient pp. 262-290

- David Lee, Harry Joe and Pavel Krupskii
- Estimation of heteroscedasticity by local composite quantile regression and matrix decomposition pp. 291-307

- Yu-Ning Li and Yi Zhang
- Statistical inference on transformation models: a self-induced smoothing approach pp. 308-331

- Junyi Zhang, Zhezhen Jin, Yongzhao Shao and Zhiliang Ying
- Partially linear transformation model for length-biased and right-censored data pp. 332-367

- Wenhua Wei, Alan T. K. Wan and Yong Zhou
- Nonparametric instrumental variable derivative estimation pp. 368-391

- J. P. Florens, Jeffrey Racine and Samuele Centorrino
- Estimation of the error distribution in a varying coefficient regression model pp. 392-429

- Anton Schick, Yilin Zhu and Xiaojie Du
- Trace pursuit variable selection for multi-population data pp. 430-447

- Lei Huo, Xuerong Meggie Wen and Zhou Yu
- Remember the curse of dimensionality: the case of goodness-of-fit testing in arbitrary dimension pp. 448-471

- Ery Arias-Castro, Bruno Pelletier and Venkatesh Saligrama
- Functional data analysis: estimation of the relative error in functional regression under random left-truncation model pp. 472-490

- Belkais Altendji, Jacques Demongeot, Ali Laksaci and Mustapha Rachdi
- Dimension reduction in estimating equations with covariates missing at random pp. 491-504

- Ying Zhang and Lei Wang
- Bias reduction in kernel density estimation pp. 505-522

- Yousri Slaoui
Volume 30, issue 1, 2018
- Corrigendum pp. x-x

- The Editors
- Improved local polynomial estimation in time series regression pp. 1-27

- Juliane Geller and Michael H. Neumann
- Test for the existence of finite moments via bootstrap pp. 28-48

- Wai Leong Ng and Chun Yip Yau
- On a multidimensional general bootstrap for empirical estimator of continuous-time semi-Markov kernels with applications pp. 49-86

- Salim Bouzebda, Chrysanthi Papamichail and Nikolaos Limnios
- Block bootstrap for periodic characteristics of periodically correlated time series pp. 87-124

- Anna E. Dudek
- Semiparametric model average prediction in panel data analysis pp. 125-144

- Tao Huang and Jialiang Li
- A two-step estimation of diffusion processes using noisy observations pp. 145-181

- Xu-Guo Ye, Jin-Guan Lin and Yan-Yong Zhao
- Extropy estimators with applications in testing uniformity pp. 182-196

- Guoxin Qiu and Kai Jia
- Multiple predicting K-fold cross-validation for model selection pp. 197-215

- Yoonsuh Jung
- Mixture cure rate models with accelerated failures and nonparametric form of covariate effects pp. 216-237

- Tianlei Chen and Pang Du
- Minimax wavelet estimation for multisample heteroscedastic nonparametric regression pp. 238-261

- Madison Giacofci, Sophie Lambert-Lacroix and Franck Picard
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