首页 > 最新文献

Journal of Statistical Computation and Simulation最新文献

英文 中文
A threshold mixed-effects Tobit model for treatment-sensitive subgroup identification based on longitudinal measures with floor and ceiling effects and a continuous covariate 基于具有下限和上限效应的纵向测量以及连续协变量的阈值混合效应托比特模型,用于识别对治疗敏感的亚组
IF 1.2 4区 数学 Q2 Mathematics Pub Date : 2024-04-23 DOI: 10.1080/00949655.2024.2344126
Xinyi Ge, Yingwei Peng, Dongsheng Tu
{"title":"A threshold mixed-effects Tobit model for treatment-sensitive subgroup identification based on longitudinal measures with floor and ceiling effects and a continuous covariate","authors":"Xinyi Ge, Yingwei Peng, Dongsheng Tu","doi":"10.1080/00949655.2024.2344126","DOIUrl":"https://doi.org/10.1080/00949655.2024.2344126","url":null,"abstract":"","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140667192","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 new online learning algorithm for streaming data and decision support with a Bayesian approach 采用贝叶斯方法的流数据和决策支持新在线学习算法
IF 1.2 4区 数学 Q2 Mathematics Pub Date : 2024-04-16 DOI: 10.1080/00949655.2024.2340581
Kai Huang, Jiaying Weng, Chao Wang, Mingfei Li
With the new revolution in data technology, many types of streaming data are automatically generated in our living environment. The vast amount of information carried by this streaming data demands...
随着数据技术的新革命,我们的生活环境中自动产生了许多类型的流数据。这些流数据所承载的海量信息要求...
{"title":"A new online learning algorithm for streaming data and decision support with a Bayesian approach","authors":"Kai Huang, Jiaying Weng, Chao Wang, Mingfei Li","doi":"10.1080/00949655.2024.2340581","DOIUrl":"https://doi.org/10.1080/00949655.2024.2340581","url":null,"abstract":"With the new revolution in data technology, many types of streaming data are automatically generated in our living environment. The vast amount of information carried by this streaming data demands...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140610070","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
Monte Carlo comparison of normality tests based on varentropy estimators 基于熵估计器的蒙特卡罗正态性检验比较
IF 1.2 4区 数学 Q2 Mathematics Pub Date : 2024-04-16 DOI: 10.1080/00949655.2024.2341174
Hadi Alizadeh Noughabi, Mohammad Shafaei Noughabi
Recently, Alizadeh and Shafaei [Alizadeh Noughabi H, Shafaei Noughabi M. Varentropy estimators with applications in testing uniformity. J Stat Comput Simul. 2023;93:2582–2599] introduced some estim...
最近,Alizadeh 和 Shafaei [Alizadeh Noughabi H, Shafaei Noughabi M. Varentropy estimators with applications in testing uniformity.J Stat Comput Simul. 2023;93:2582-2599] 介绍了一些估...
{"title":"Monte Carlo comparison of normality tests based on varentropy estimators","authors":"Hadi Alizadeh Noughabi, Mohammad Shafaei Noughabi","doi":"10.1080/00949655.2024.2341174","DOIUrl":"https://doi.org/10.1080/00949655.2024.2341174","url":null,"abstract":"Recently, Alizadeh and Shafaei [Alizadeh Noughabi H, Shafaei Noughabi M. Varentropy estimators with applications in testing uniformity. J Stat Comput Simul. 2023;93:2582–2599] introduced some estim...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140610369","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
Parametric programming-based approximate selective inference for adaptive lasso, adaptive elastic net and group lasso 基于参数编程的自适应套索、自适应弹性网和组套索近似选择性推理
IF 1.2 4区 数学 Q2 Mathematics Pub Date : 2024-04-09 DOI: 10.1080/00949655.2024.2337342
Sarah Pirenne, Gerda Claeskens
Conducting model selection on data gives rise to selection uncertainty which, when ignored, invalidates subsequent classical inference which assumes that the model is given before the analysis and ...
在对数据进行模型选择时会产生选择的不确定性,而这种不确定性一旦被忽视,就会使随后的经典推断失效,因为经典推断假定模型在分析之前就已给出,并且......
{"title":"Parametric programming-based approximate selective inference for adaptive lasso, adaptive elastic net and group lasso","authors":"Sarah Pirenne, Gerda Claeskens","doi":"10.1080/00949655.2024.2337342","DOIUrl":"https://doi.org/10.1080/00949655.2024.2337342","url":null,"abstract":"Conducting model selection on data gives rise to selection uncertainty which, when ignored, invalidates subsequent classical inference which assumes that the model is given before the analysis and ...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140600958","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 likelihood-based adaptive CUSUM for monitoring linear drift of Poisson rate with time-varying sample sizes 基于似然法的自适应 CUSUM,用于监测样本量随时间变化的泊松率线性漂移
IF 1.2 4区 数学 Q2 Mathematics Pub Date : 2024-04-09 DOI: 10.1080/00949655.2024.2327376
Zhengcheng Mou, Jyun-You Chiang, Sihong Chen, Guojun Liu
Several weighted cumulative sum (CUSUM) and adaptive CUSUM (ACUSUM) control charts have been developed to address the challenge of time-varying sample sizes in detecting the incidence rates of Pois...
为了解决在检测胰腺癌发病率时样本量随时间变化的难题,我们开发了几种加权累积和(CUSUM)和自适应累积和(ACUSUM)控制图。
{"title":"A likelihood-based adaptive CUSUM for monitoring linear drift of Poisson rate with time-varying sample sizes","authors":"Zhengcheng Mou, Jyun-You Chiang, Sihong Chen, Guojun Liu","doi":"10.1080/00949655.2024.2327376","DOIUrl":"https://doi.org/10.1080/00949655.2024.2327376","url":null,"abstract":"Several weighted cumulative sum (CUSUM) and adaptive CUSUM (ACUSUM) control charts have been developed to address the challenge of time-varying sample sizes in detecting the incidence rates of Pois...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140601300","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 optimal multi-stress–strength reliability technique for the progressive first failure in the length-bias exponential model using Bayesian and non-Bayesian methods 使用贝叶斯和非贝叶斯方法研究长度偏置指数模型中渐进式首次失效的最优多应力-强度可靠性技术
IF 1.2 4区 数学 Q2 Mathematics Pub Date : 2024-04-08 DOI: 10.1080/00949655.2024.2337343
Refah Alotaibi, Ehab M. Almetwally, Indranil Ghosh, Hoda Rezk
In many real-world situations, systems frequently fail in their demanding operational settings. Researchers pay little attention to the fact that systems typically fail to execute their intended ac...
在现实世界的许多情况下,系统经常会在苛刻的运行环境中出现故障。研究人员很少注意到这样一个事实,即系统通常无法执行其预期的操作。
{"title":"The optimal multi-stress–strength reliability technique for the progressive first failure in the length-bias exponential model using Bayesian and non-Bayesian methods","authors":"Refah Alotaibi, Ehab M. Almetwally, Indranil Ghosh, Hoda Rezk","doi":"10.1080/00949655.2024.2337343","DOIUrl":"https://doi.org/10.1080/00949655.2024.2337343","url":null,"abstract":"In many real-world situations, systems frequently fail in their demanding operational settings. Researchers pay little attention to the fact that systems typically fail to execute their intended ac...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140600963","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 transfer learning for high-dimensional regression with linear constraints 带线性约束的高维回归的稳健迁移学习
IF 1.2 4区 数学 Q2 Mathematics Pub Date : 2024-04-07 DOI: 10.1080/00949655.2024.2338223
Xuan Chen, Yunquan Song, Yuanfeng Wang
Transfer learning is a method to improve the estimation and prediction accuracy of the target model by transferring the source data when the available data of the target data is relatively few. How...
迁移学习是在目标数据可用数据相对较少的情况下,通过迁移源数据来提高目标模型的估计和预测精度的一种方法。如何...
{"title":"Robust transfer learning for high-dimensional regression with linear constraints","authors":"Xuan Chen, Yunquan Song, Yuanfeng Wang","doi":"10.1080/00949655.2024.2338223","DOIUrl":"https://doi.org/10.1080/00949655.2024.2338223","url":null,"abstract":"Transfer learning is a method to improve the estimation and prediction accuracy of the target model by transferring the source data when the available data of the target data is relatively few. How...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140600954","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
Estimating mixed-effects state-space models via particle filters and the EM algorithm 通过粒子滤波器和 EM 算法估计混合效应状态空间模型
IF 1.2 4区 数学 Q2 Mathematics Pub Date : 2024-04-02 DOI: 10.1080/00949655.2024.2337339
Fayçal Hamdi, Chahrazed Lellou
In this paper, we focus on studying the Mixed-Effects State-Space (MESS) models previously introduced by Liu et al. [Liu D, Lu T, Niu X-F, et al. Mixed-effects state-space models for analysis of lo...
在本文中,我们将重点研究 Liu 等人之前提出的混合效应状态空间(MESS)模型[Liu D, Lu T, Niu X-F, et al. Mixed-Effects State-Space models for analysis of lo...
{"title":"Estimating mixed-effects state-space models via particle filters and the EM algorithm","authors":"Fayçal Hamdi, Chahrazed Lellou","doi":"10.1080/00949655.2024.2337339","DOIUrl":"https://doi.org/10.1080/00949655.2024.2337339","url":null,"abstract":"In this paper, we focus on studying the Mixed-Effects State-Space (MESS) models previously introduced by Liu et al. [Liu D, Lu T, Niu X-F, et al. Mixed-effects state-space models for analysis of lo...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140601297","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 relative composite quantile regression with ordinal longitudinal data and some case studies 使用序数纵向数据的贝叶斯相对综合量子回归和一些案例研究
IF 1.2 4区 数学 Q2 Mathematics Pub Date : 2024-03-29 DOI: 10.1080/00949655.2024.2335399
Yu-Zhu Tian, Chun-Ho Wu, Man-Lai Tang, Mao-Zai Tian
In real applied fields such as clinical medicine, environmental sciences, psychology as well as economics, we often encounter the task of conducting statistical inference for longitudinal data with...
在临床医学、环境科学、心理学和经济学等实际应用领域,我们经常会遇到用纵向数据进行统计推断的任务。
{"title":"Bayesian relative composite quantile regression with ordinal longitudinal data and some case studies","authors":"Yu-Zhu Tian, Chun-Ho Wu, Man-Lai Tang, Mao-Zai Tian","doi":"10.1080/00949655.2024.2335399","DOIUrl":"https://doi.org/10.1080/00949655.2024.2335399","url":null,"abstract":"In real applied fields such as clinical medicine, environmental sciences, psychology as well as economics, we often encounter the task of conducting statistical inference for longitudinal data with...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140322770","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
Transfer learning with high dimensional composite quantile regression 利用高维复合量化回归进行迁移学习
IF 1.2 4区 数学 Q2 Mathematics Pub Date : 2024-03-20 DOI: 10.1080/00949655.2024.2329969
Jie Li, Yunquan Song
Transfer learning has gained wide popularity due to its ability to enhance the performance of target tasks by utilizing external information sources. Despite this, current transfer learning methods...
迁移学习能够通过利用外部信息源来提高目标任务的绩效,因此广受欢迎。尽管如此,目前的迁移学习方法...
{"title":"Transfer learning with high dimensional composite quantile regression","authors":"Jie Li, Yunquan Song","doi":"10.1080/00949655.2024.2329969","DOIUrl":"https://doi.org/10.1080/00949655.2024.2329969","url":null,"abstract":"Transfer learning has gained wide popularity due to its ability to enhance the performance of target tasks by utilizing external information sources. Despite this, current transfer learning methods...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140202954","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
期刊
Journal of Statistical Computation and Simulation
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1