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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
Journal of Statistical Computation and Simulation Pub Date : 2024-04-09 DOI: 10.1080/00949655.2024.2337342
Sarah Pirenne, Gerda Claeskens
{"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":"15 1","pages":""},"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
Journal of Statistical Computation and Simulation Pub Date : 2024-04-09 DOI: 10.1080/00949655.2024.2327376
Zhengcheng Mou, Jyun-You Chiang, Sihong Chen, Guojun Liu
{"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":"279 1","pages":""},"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
Journal of Statistical Computation and Simulation Pub Date : 2024-04-08 DOI: 10.1080/00949655.2024.2337343
Refah Alotaibi, Ehab M. Almetwally, Indranil Ghosh, Hoda Rezk
{"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":"95 1","pages":""},"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
Journal of Statistical Computation and Simulation Pub Date : 2024-04-07 DOI: 10.1080/00949655.2024.2338223
Xuan Chen, Yunquan Song, Yuanfeng Wang
{"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":"34 1","pages":""},"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
Journal of Statistical Computation and Simulation Pub Date : 2024-04-02 DOI: 10.1080/00949655.2024.2337339
Fayçal Hamdi, Chahrazed Lellou
{"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":"30 1","pages":""},"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
Journal of Statistical Computation and Simulation Pub Date : 2024-03-29 DOI: 10.1080/00949655.2024.2335399
Yu-Zhu Tian, Chun-Ho Wu, Man-Lai Tang, Mao-Zai Tian
{"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":"67 1","pages":""},"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
Journal of Statistical Computation and Simulation Pub Date : 2024-03-20 DOI: 10.1080/00949655.2024.2329969
Jie Li, Yunquan Song
{"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":"155 1","pages":""},"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
Inference on the reliability of inverse Weibull with multiply Type-I censored data 利用多重 I 型删减数据推断反 Weibull 的可靠性
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-03-16 DOI: 10.1080/00949655.2024.2324366
Zhengcheng Mou, Guojun Liu, Jyun-You Chiang, Sihong Chen
{"title":"Inference on the reliability of inverse Weibull with multiply Type-I censored data","authors":"Zhengcheng Mou, Guojun Liu, Jyun-You Chiang, Sihong Chen","doi":"10.1080/00949655.2024.2324366","DOIUrl":"https://doi.org/10.1080/00949655.2024.2324366","url":null,"abstract":"Inverse Weibull (IW) distribution is widely used due to its non-monotonic hazard function. For the IW distribution, existing research on statistical inference has mostly focused on censored data, b...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":"57 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140168653","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
Estimation of stress-strength reliability in s-out-of-k system for new flexible exponential distribution under progressive type-II censoring 渐进式 II 型普查下新弹性指数分布的 s-out-of-k 系统应力强度可靠性估算
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-03-15 DOI: 10.1080/00949655.2024.2323940
Greeshma Chandran, M. Manoharan
{"title":"Estimation of stress-strength reliability in s-out-of-k system for new flexible exponential distribution under progressive type-II censoring","authors":"Greeshma Chandran, M. Manoharan","doi":"10.1080/00949655.2024.2323940","DOIUrl":"https://doi.org/10.1080/00949655.2024.2323940","url":null,"abstract":"This article addresses stress-strength reliability estimation in s-out-of-k systems under progressive type-II censoring. The system consists of components facing common stress, where stress and st...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":"19 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140147684","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 a two-parameter Rayleigh distribution under generalized progressive hybrid censoring scheme 广义渐进混合普查方案下双参数瑞利分布的统计推断
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-03-15 DOI: 10.1080/00949655.2024.2328705
Ying Xin, Bingchang Zhou, Yaning Tang, You Zhang
{"title":"Statistical inference for a two-parameter Rayleigh distribution under generalized progressive hybrid censoring scheme","authors":"Ying Xin, Bingchang Zhou, Yaning Tang, You Zhang","doi":"10.1080/00949655.2024.2328705","DOIUrl":"https://doi.org/10.1080/00949655.2024.2328705","url":null,"abstract":"The two-parameter Rayleigh distribution, as an extended distribution of the Rayleigh distribution, has been widely applied in reliability analysis. With the introduction of the location parameter, ...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":"32 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140147679","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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