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Japanese Journal of Statistics and Data Science最新文献

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Reduced-bias estimator of the ruin probability in infinite time for heavy-tailed distributions with index in the upper half of the unit interval 指数位于单位区间上半部的重尾分布在无限时间内毁灭概率的减偏置估计器
IF 1.1
Japanese Journal of Statistics and Data Science Pub Date : 2024-07-18 DOI: 10.1007/s42081-024-00259-w
Modou Kebe, E. Deme, T. A. Kpanzou, Yousri Slaoui
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引用次数: 0
Estimation and backtesting of risk measures with emphasis on distortion risk measures 风险度量的估算和回溯测试，重点是扭曲风险度量
IF 1.1
Japanese Journal of Statistics and Data Science Pub Date : 2024-07-10 DOI: 10.1007/s42081-024-00264-z
Hideatsu Tsukahara
{"title":"Estimation and backtesting of risk measures with emphasis on distortion risk measures","authors":"Hideatsu Tsukahara","doi":"10.1007/s42081-024-00264-z","DOIUrl":"https://doi.org/10.1007/s42081-024-00264-z","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bayesian projection of cohort healthy life expectancies with long-term care insurance data 利用长期护理保险数据对队列健康预期寿命进行贝叶斯预测
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2024-06-11 DOI: 10.1007/s42081-024-00253-2
Atsuyuki Kogure, Yoshimitsu Takamatsu
{"title":"Bayesian projection of cohort healthy life expectancies with long-term care insurance data","authors":"Atsuyuki Kogure, Yoshimitsu Takamatsu","doi":"10.1007/s42081-024-00253-2","DOIUrl":"https://doi.org/10.1007/s42081-024-00253-2","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141360567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Likelihood-based instrumental variable methods for Cox proportional hazards model 用于 Cox 比例危险模型的基于似然的工具变量方法
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2024-06-06 DOI: 10.1007/s42081-024-00254-1
Shunichiro Orihara, Shingo Fukuma, T. Ikenoue, Masataka Taguri
{"title":"Likelihood-based instrumental variable methods for Cox proportional hazards model","authors":"Shunichiro Orihara, Shingo Fukuma, T. Ikenoue, Masataka Taguri","doi":"10.1007/s42081-024-00254-1","DOIUrl":"https://doi.org/10.1007/s42081-024-00254-1","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Test for high-dimensional outliers with principal component analysis 用主成分分析法测试高维离群值
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2024-06-04 DOI: 10.1007/s42081-024-00255-0
Yugo Nakayama, K. Yata, M. Aoshima
{"title":"Test for high-dimensional outliers with principal component analysis","authors":"Yugo Nakayama, K. Yata, M. Aoshima","doi":"10.1007/s42081-024-00255-0","DOIUrl":"https://doi.org/10.1007/s42081-024-00255-0","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141267446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Estimating the effective reproduction number of COVID-19 via the chain ladder method 通过链梯法估算 COVID-19 的有效繁殖数量
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2024-06-01 DOI: 10.1007/s42081-024-00252-3
Xuanan Lin, Yuki Matsunaka, Hiroshi Shiraishi
{"title":"Estimating the effective reproduction number of COVID-19 via the chain ladder method","authors":"Xuanan Lin, Yuki Matsunaka, Hiroshi Shiraishi","doi":"10.1007/s42081-024-00252-3","DOIUrl":"https://doi.org/10.1007/s42081-024-00252-3","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141280249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On ergodicity of threshold ARMA(m, p, q) models 论阈值 ARMA（m，p，q）模型的遍历性
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2024-05-09 DOI: 10.1007/s42081-024-00248-z
Qiang Bai, Shiqing Ling
{"title":"On ergodicity of threshold ARMA(m, p, q) models","authors":"Qiang Bai, Shiqing Ling","doi":"10.1007/s42081-024-00248-z","DOIUrl":"https://doi.org/10.1007/s42081-024-00248-z","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140996037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Correction to: Revisiting Alwyn H. Gentry’s forest transect data: latitudinal beta diversity patterns are revealed using a statistical sampling-model-based approach 更正：重新审视 Alwyn H. Gentry 的森林横断面数据：使用基于统计抽样模型的方法揭示纬度贝塔多样性模式
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2024-03-31 DOI: 10.1007/s42081-024-00246-1
Anne Chao, Chun‐Huo Chiu, Kai-Hsiang Hu, David Zelený
{"title":"Correction to: Revisiting Alwyn H. Gentry’s forest transect data: latitudinal beta diversity patterns are revealed using a statistical sampling-model-based approach","authors":"Anne Chao, Chun‐Huo Chiu, Kai-Hsiang Hu, David Zelený","doi":"10.1007/s42081-024-00246-1","DOIUrl":"https://doi.org/10.1007/s42081-024-00246-1","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140360973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Finite-time expected present value of operating costs until ruin in a bivariate risk model under periodic observation 定期观测下的双变量风险模型中运营成本在毁坏前的有限时间预期现值
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2024-03-26 DOI: 10.1007/s42081-024-00244-3
Jiayi Xie, Ye Teng, Zhimin Zhang
{"title":"Finite-time expected present value of operating costs until ruin in a bivariate risk model under periodic observation","authors":"Jiayi Xie, Ye Teng, Zhimin Zhang","doi":"10.1007/s42081-024-00244-3","DOIUrl":"https://doi.org/10.1007/s42081-024-00244-3","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140380526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-stage minimum risk point estimation (MRPE) of a function of unknown $$varvec{beta }$$ in a Gamma($$varvec{alpha ,beta }$$) model with $$varvec{alpha }$$ known: related problems and illustrations with analysis from simulations and cancer data 已知 $$varvec{alpha }$ 的 Gamma($$varvec{alpha ,beta }$)模型中未知 $$varvec{alpha }$ 函数的多阶段最小风险点估计 (MRPE)：相关问题及模拟和癌症数据分析说明
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2024-02-28 DOI: 10.1007/s42081-024-00241-6
Nitis Mukhopadhyay, Jing Li
{"title":"Multi-stage minimum risk point estimation (MRPE) of a function of unknown $$varvec{beta }$$ in a Gamma($$varvec{alpha ,beta }$$) model with $$varvec{alpha }$$ known: related problems and illustrations with analysis from simulations and cancer data","authors":"Nitis Mukhopadhyay, Jing Li","doi":"10.1007/s42081-024-00241-6","DOIUrl":"https://doi.org/10.1007/s42081-024-00241-6","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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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