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Journal of Nonparametric Statistics最新文献

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A novel framework for online supervised learning with feature selection 带特征选择的在线监督学习新框架
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-05-24 DOI: 10.1080/10485252.2024.2359057
Lizhe Sun, Mingyuan Wang, Siquan Zhu, Adrian Barbu
{"title":"A novel framework for online supervised learning with feature selection","authors":"Lizhe Sun, Mingyuan Wang, Siquan Zhu, Adrian Barbu","doi":"10.1080/10485252.2024.2359057","DOIUrl":"https://doi.org/10.1080/10485252.2024.2359057","url":null,"abstract":"Current online learning methods suffer issues such as lower convergence rates and limited capability to select important features compared to their offline counterparts. In this paper, a novel fram...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"40 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141529570","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
Equivalence between constrained optimal smoothing and Bayesian estimation 受限最优平滑法与贝叶斯估计法的等效性
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-05-03 DOI: 10.1080/10485252.2024.2348542
L. Grammont, H. Maatouk, X. Bay
{"title":"Equivalence between constrained optimal smoothing and Bayesian estimation","authors":"L. Grammont, H. Maatouk, X. Bay","doi":"10.1080/10485252.2024.2348542","DOIUrl":"https://doi.org/10.1080/10485252.2024.2348542","url":null,"abstract":"In this paper, we extend the correspondence between Bayesian estimation and optimal smoothing in a Reproducing Kernel Hilbert Space (RKHS) by adding convex constraints to the problem. Through a seq...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"35 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140929621","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
Data-driven resistant kernel regression 数据驱动的抗核回归
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-04-03 DOI: 10.1080/10485252.2024.2335494
Jianhua Zhou, Christopher F. Parmeter
{"title":"Data-driven resistant kernel regression","authors":"Jianhua Zhou, Christopher F. Parmeter","doi":"10.1080/10485252.2024.2335494","DOIUrl":"https://doi.org/10.1080/10485252.2024.2335494","url":null,"abstract":"We investigate data-driven bandwidth selection within the confines of robust (resistant) kernel smoothing. While several approaches presently exist, they require user defined robustness parameters....","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"25 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140576413","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
Enhanced doubly robust estimation with concave link functions for estimands in clinical trials 针对临床试验中的估算对象，利用凹链接函数增强双重稳健性估算
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-03-12 DOI: 10.1080/10485252.2024.2328078
Junyi Zhang, Ao Yuan, Ming T. Tan
{"title":"Enhanced doubly robust estimation with concave link functions for estimands in clinical trials","authors":"Junyi Zhang, Ao Yuan, Ming T. Tan","doi":"10.1080/10485252.2024.2328078","DOIUrl":"https://doi.org/10.1080/10485252.2024.2328078","url":null,"abstract":"For observational studies or clinical trials not fully randomised, the baseline covariates are often not balanced between the treatment and control groups. In this case, the traditional estimates o...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"131 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140148493","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
Bayesian semi-parametric estimation of compound inhomogeneous Poisson processes for ultra-high frequency financial transaction data 针对超高频金融交易数据的复合不均匀泊松过程的贝叶斯半参数估计
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-03-12 DOI: 10.1080/10485252.2024.2324290
Masaru Hashimoto, Peter J. Lenk
{"title":"Bayesian semi-parametric estimation of compound inhomogeneous Poisson processes for ultra-high frequency financial transaction data","authors":"Masaru Hashimoto, Peter J. Lenk","doi":"10.1080/10485252.2024.2324290","DOIUrl":"https://doi.org/10.1080/10485252.2024.2324290","url":null,"abstract":"Marked point processes provide a flexible framework for studying ultra-high frequency financial data that records the time and price for each transaction. This paper estimates compound, inhomogeneo...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"43 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140127360","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 robust estimation based on penalised regularisation for the varying-coefficient additive model 基于惩罚正则化的变化系数加法模型稳健估算
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-03-07 DOI: 10.1080/10485252.2024.2320801
Yaxuan Zhao, Yuehan Yang
{"title":"A robust estimation based on penalised regularisation for the varying-coefficient additive model","authors":"Yaxuan Zhao, Yuehan Yang","doi":"10.1080/10485252.2024.2320801","DOIUrl":"https://doi.org/10.1080/10485252.2024.2320801","url":null,"abstract":"To effectively handle functional data and longitudinal data, we propose a robust estimation approach based on penalised regularisation with the framework of the varying-coefficient additive model. ...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"12 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140127056","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
Checking normality of model errors under additive distortion measurement errors 检查加性失真测量误差下模型误差的正态性
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-03-05 DOI: 10.1080/10485252.2024.2320798
Mengyao Li, Jiangshe Zhang, Jun Zhang, Yan Zhou
{"title":"Checking normality of model errors under additive distortion measurement errors","authors":"Mengyao Li, Jiangshe Zhang, Jun Zhang, Yan Zhou","doi":"10.1080/10485252.2024.2320798","DOIUrl":"https://doi.org/10.1080/10485252.2024.2320798","url":null,"abstract":"We study the goodness-of-fit tests for checking the normality of the model errors under the additive distortion measurement error settings. Neither the response variable nor the covariates can be d...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"104 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140033848","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 powerful nonparametric test of the effect of dementia duration on mortality 对痴呆症持续时间对死亡率的影响进行强有力的非参数检验
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-03-05 DOI: 10.1080/10485252.2024.2320128
Rafael Weißbach, Lucas Radloff, Constantin Reinke, G. Doblhammer
{"title":"A powerful nonparametric test of the effect of dementia duration on mortality","authors":"Rafael Weißbach, Lucas Radloff, Constantin Reinke, G. Doblhammer","doi":"10.1080/10485252.2024.2320128","DOIUrl":"https://doi.org/10.1080/10485252.2024.2320128","url":null,"abstract":"A continuous-time multi-state history is semi-Markovian, if an intensity to migrate from one state into a second, depends on the duration in the first state. Such duration can be formalised as mark...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"267 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140033868","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
Robust sufficient dimension reduction via α-distance covariance 通过α-距离协方差实现稳健的充分降维
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-02-19 DOI: 10.1080/10485252.2024.2313137
Hsin-Hsiung Huang, Feng Yu, Teng Zhang
{"title":"Robust sufficient dimension reduction via α-distance covariance","authors":"Hsin-Hsiung Huang, Feng Yu, Teng Zhang","doi":"10.1080/10485252.2024.2313137","DOIUrl":"https://doi.org/10.1080/10485252.2024.2313137","url":null,"abstract":"We introduce a novel sufficient dimension-reduction (SDR) method which is robust against outliers using α-distance covariance (dCov) in dimension-reduction problems. Under very mild conditions on t...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"10 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139911250","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
Good-bootstrap: simultaneous confidence intervals for large alphabet distributions Good-bootstrap: 大字母分布的同步置信区间
IF 1.2 4区 数学
Journal of Nonparametric Statistics Pub Date : 2024-02-12 DOI: 10.1080/10485252.2024.2313706
Daniel Marton, Amichai Painsky
{"title":"Good-bootstrap: simultaneous confidence intervals for large alphabet distributions","authors":"Daniel Marton, Amichai Painsky","doi":"10.1080/10485252.2024.2313706","DOIUrl":"https://doi.org/10.1080/10485252.2024.2313706","url":null,"abstract":"Simultaneous confidence intervals (SCI) for multinomial proportions are a corner stone in count data analysis and a key component in many applications. A variety of schemes were introduced over the...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"22 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139772953","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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