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Journal of Nonparametric Statistics最新文献

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Adaptive and efficient isotonic estimation in Wicksell's problem 维克塞尔问题中的自适应高效等差数列估计
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-09-10 DOI: 10.1080/10485252.2024.2397680
Francesco Gili, Geurt Jongbloed, Aad van der Vaart
{"title":"Adaptive and efficient isotonic estimation in Wicksell's problem","authors":"Francesco Gili, Geurt Jongbloed, Aad van der Vaart","doi":"10.1080/10485252.2024.2397680","DOIUrl":"https://doi.org/10.1080/10485252.2024.2397680","url":null,"abstract":"We consider nonparametric estimation in Wicksell's problem, which has applications in astronomy for estimating the distribution of star positions in a galaxy and in material sciences for determinin...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"30 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A general semi-parametric elliptical distribution model for semi-supervised learning 用于半监督学习的通用半参数椭圆分布模型
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-08-20 DOI: 10.1080/10485252.2024.2393725
Chin-Tsang Chiang, Sheng-Hsin Fan, Ming-Yueh Huang, Jen-Chieh Teng, Alvin Lim
{"title":"A general semi-parametric elliptical distribution model for semi-supervised learning","authors":"Chin-Tsang Chiang, Sheng-Hsin Fan, Ming-Yueh Huang, Jen-Chieh Teng, Alvin Lim","doi":"10.1080/10485252.2024.2393725","DOIUrl":"https://doi.org/10.1080/10485252.2024.2393725","url":null,"abstract":"This research proposes a novel semi-parametric elliptical distribution model for application in semi-supervised learning tasks. We use labelled and unlabelled data to develop a pseudo maximum likel...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"6 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142267841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stone's theorem for distributional regression in Wasserstein distance 瓦瑟斯坦距离分布回归的斯通定理
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-08-17 DOI: 10.1080/10485252.2024.2393172
Clément Dombry, Thibault Modeste, Romain Pic
{"title":"Stone's theorem for distributional regression in Wasserstein distance","authors":"Clément Dombry, Thibault Modeste, Romain Pic","doi":"10.1080/10485252.2024.2393172","DOIUrl":"https://doi.org/10.1080/10485252.2024.2393172","url":null,"abstract":"We extend the celebrated Stone's theorem to the framework of distributional regression. More precisely, we prove that weighted empirical distributions with local probability weights satisfying the ...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"12 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Kernel density estimation for a stochastic process with values in a Riemannian manifold 具有黎曼流形中数值的随机过程的核密度估计
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-08-13 DOI: 10.1080/10485252.2024.2382442
Mohamed Abdillahi Isman, Wiem Nefzi, Papa Mbaye, Salah Khardani, Anne-Françoise Yao
{"title":"Kernel density estimation for a stochastic process with values in a Riemannian manifold","authors":"Mohamed Abdillahi Isman, Wiem Nefzi, Papa Mbaye, Salah Khardani, Anne-Françoise Yao","doi":"10.1080/10485252.2024.2382442","DOIUrl":"https://doi.org/10.1080/10485252.2024.2382442","url":null,"abstract":"This paper is related to the issue of the density estimation of observations with values in a Riemannian submanifold. In this context, Henry and Rodriguez ((2009), ‘Kernel Density Estimation on Rie...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"3 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Functional index coefficient models for locally stationary time series 局部静止时间序列的函数指数系数模型
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-08-05 DOI: 10.1080/10485252.2024.2387781
Xin Guan, Qunfang Xu, Jinhong You, Yong Zhou
{"title":"Functional index coefficient models for locally stationary time series","authors":"Xin Guan, Qunfang Xu, Jinhong You, Yong Zhou","doi":"10.1080/10485252.2024.2387781","DOIUrl":"https://doi.org/10.1080/10485252.2024.2387781","url":null,"abstract":"In the analysis of nonlinear time series, we propose a novel functional index coefficient model for the locally stationary data. The proposed model can effectively capture the dynamic interaction e...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"59 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generalized fiducial inference for the GEV change-point model GEV 变化点模型的广义基准推理
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-08-04 DOI: 10.1080/10485252.2024.2387091
Xia Cai, Yaru Qiao, Jiahua Qiao, Liang Yan
{"title":"Generalized fiducial inference for the GEV change-point model","authors":"Xia Cai, Yaru Qiao, Jiahua Qiao, Liang Yan","doi":"10.1080/10485252.2024.2387091","DOIUrl":"https://doi.org/10.1080/10485252.2024.2387091","url":null,"abstract":"Generalized extreme value (GEV) distribution is used to analyse the maximum from a block of data. It is very useful to describe the unusual event rather than the usual event. In this paper, we prop...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"28 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Linear-quadratic Tobit regression model with a change point due to a covariate threshold 线性-二次托比特回归模型，辅变量阈值导致变化点
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-07-30 DOI: 10.1080/10485252.2024.2383772
Xiaogang Wang, Han Wang, Feipeng Zhang, Caiyun Fan
{"title":"Linear-quadratic Tobit regression model with a change point due to a covariate threshold","authors":"Xiaogang Wang, Han Wang, Feipeng Zhang, Caiyun Fan","doi":"10.1080/10485252.2024.2383772","DOIUrl":"https://doi.org/10.1080/10485252.2024.2383772","url":null,"abstract":"This paper considers a linear-quadratic Tobit regression model, which is developed for modelling the mixture structure with a line segment and a quadratic segment intersecting at an unknown change ...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"374 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The A-optimal subsampling approach to the analysis of count data of massive size 分析大规模计数数据的 A-最优子抽样方法
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-07-30 DOI: 10.1080/10485252.2024.2383307
Fei Tan, Xiaofeng Zhao, Hanxiang Peng
{"title":"The A-optimal subsampling approach to the analysis of count data of massive size","authors":"Fei Tan, Xiaofeng Zhao, Hanxiang Peng","doi":"10.1080/10485252.2024.2383307","DOIUrl":"https://doi.org/10.1080/10485252.2024.2383307","url":null,"abstract":"The uniform and the statistical leverage-scores-based (nonuniform) distributions are often used in the development of randomised algorithms and the analysis of data of massive size. Both distributi...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"44 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Statistical inference for innovation distribution in ARMA and multi-step-ahead prediction via empirical process 通过经验过程对 ARMA 创新分布进行统计推断和多步前瞻预测
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-07-30 DOI: 10.1080/10485252.2024.2384608
Chen Zhong
{"title":"Statistical inference for innovation distribution in ARMA and multi-step-ahead prediction via empirical process","authors":"Chen Zhong","doi":"10.1080/10485252.2024.2384608","DOIUrl":"https://doi.org/10.1080/10485252.2024.2384608","url":null,"abstract":"The kernel distribution estimator (KDE) is proposed based on residuals of the innovation distribution in the autoregressive moving-average (ARMA) time series. The deviation between KDE and the inno...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"374 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A class of nonparametric tests for the two-sample problem based on order statistics 一类基于阶次统计的双样本问题非参数检验
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-07-25 DOI: 10.1080/10485252.2024.2376089
Kadir Karakaya, Sümeyra Sert, Ihab Abusaif, Coşkun Kuş, Hon Keung Tony Ng, Haikady N. Nagaraja
{"title":"A class of nonparametric tests for the two-sample problem based on order statistics","authors":"Kadir Karakaya, Sümeyra Sert, Ihab Abusaif, Coşkun Kuş, Hon Keung Tony Ng, Haikady N. Nagaraja","doi":"10.1080/10485252.2024.2376089","DOIUrl":"https://doi.org/10.1080/10485252.2024.2376089","url":null,"abstract":"In this paper, a new class of distribution-free statistics based on order statistics from two independent samples is introduced to test the equality of two continuous distributions. The null distri...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"108 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141776354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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