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Journal of Nonparametric Statistics最新文献

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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
Errors-in-variables regression for mixed Euclidean and non-Euclidean predictors 欧氏和非欧氏混合预测变量的变量误差回归
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-07-24 DOI: 10.1080/10485252.2024.2378897
Jeong Min Jeon
{"title":"Errors-in-variables regression for mixed Euclidean and non-Euclidean predictors","authors":"Jeong Min Jeon","doi":"10.1080/10485252.2024.2378897","DOIUrl":"https://doi.org/10.1080/10485252.2024.2378897","url":null,"abstract":"In this paper, we explore a novel regression problem encompassing both Euclidean and non-Euclidean predictors, all of which are subject to measurement errors. Specifically, we focus on a non-Euclid...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"20 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141776266","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
Clustering of high-dimensional observations 高维观测数据的聚类
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-07-24 DOI: 10.1080/10485252.2024.2378904
Yong Wang, Reza Modarres
{"title":"Clustering of high-dimensional observations","authors":"Yong Wang, Reza Modarres","doi":"10.1080/10485252.2024.2378904","DOIUrl":"https://doi.org/10.1080/10485252.2024.2378904","url":null,"abstract":"We present a novel clustering method for high-dimensional, low sample size (HDLSS) data. The method is distance-based, takes advantage of the distance concentration phenomenon and the limiting valu...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"38 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141776149","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
Tracking full posterior in online Bayesian classification learning: a particle filter approach 在线贝叶斯分类学习中的全后验跟踪：粒子过滤器方法
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-07-09 DOI: 10.1080/10485252.2024.2368631
Enze Shi, Jinhan Xie, Shenggang Hu, Ke Sun, Hongsheng Dai, Bei Jiang, Linglong Kong, Lingzhu Li
{"title":"Tracking full posterior in online Bayesian classification learning: a particle filter approach","authors":"Enze Shi, Jinhan Xie, Shenggang Hu, Ke Sun, Hongsheng Dai, Bei Jiang, Linglong Kong, Lingzhu Li","doi":"10.1080/10485252.2024.2368631","DOIUrl":"https://doi.org/10.1080/10485252.2024.2368631","url":null,"abstract":"The rapid growth of data volume and velocity is challenging traditional methods of classification, making it impossible to store so much data in memory. Developing online classification methods is ...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"30 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141608361","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
Group inference of high-dimensional single-index models 高维单指数模型的分组推断
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-07-03 DOI: 10.1080/10485252.2024.2371524
Dongxiao Han, Miao Han, Meiling Hao, Liuquan Sun, Siyang Wang
{"title":"Group inference of high-dimensional single-index models","authors":"Dongxiao Han, Miao Han, Meiling Hao, Liuquan Sun, Siyang Wang","doi":"10.1080/10485252.2024.2371524","DOIUrl":"https://doi.org/10.1080/10485252.2024.2371524","url":null,"abstract":"For the supervised and semi-supervised settings, a group inference method is proposed for regression parameters in high-dimensional semi-parametric single-index models with an unknown random link f...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"78 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141608359","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
Nonparametric screening for additive quantile regression in ultra-high dimension 超高维度加法量化回归的非参数筛选
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-06-18 DOI: 10.1080/10485252.2024.2366978
Daoji Li, Yinfei Kong, Dawit Zerom
{"title":"Nonparametric screening for additive quantile regression in ultra-high dimension","authors":"Daoji Li, Yinfei Kong, Dawit Zerom","doi":"10.1080/10485252.2024.2366978","DOIUrl":"https://doi.org/10.1080/10485252.2024.2366978","url":null,"abstract":"In practical applications, one often does not know the ‘true’ structure of the underlying conditional quantile function, especially in the ultra-high dimensional setting. To deal with ultra-high di...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"31 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141529569","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
Trajectory clustering with adjustment for time-varying covariate effects 轨迹聚类，调整时变协变量效应
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-05-27 DOI: 10.1080/10485252.2024.2358435
Chunxi Liu, Chao Han, Weiping Zhang
{"title":"Trajectory clustering with adjustment for time-varying covariate effects","authors":"Chunxi Liu, Chao Han, Weiping Zhang","doi":"10.1080/10485252.2024.2358435","DOIUrl":"https://doi.org/10.1080/10485252.2024.2358435","url":null,"abstract":"In this paper, we propose a penalized regression method to detect subgroups of trajectories while accounting for the time-varying effects of given covariates. Specifically, we allow both the latent...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"67 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507293","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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