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Japanese Journal of Statistics and Data Science最新文献

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An adaptive singular value shrinkage for estimation problem of low-rank matrix mean with unknown covariance matrix 协方差矩阵未知的低秩矩阵均值估计问题的自适应奇异值收缩
Japanese Journal of Statistics and Data Science Pub Date : 2023-11-04 DOI: 10.1007/s42081-023-00223-0
Yoshihiko Konno
{"title":"An adaptive singular value shrinkage for estimation problem of low-rank matrix mean with unknown covariance matrix","authors":"Yoshihiko Konno","doi":"10.1007/s42081-023-00223-0","DOIUrl":"https://doi.org/10.1007/s42081-023-00223-0","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"18 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135773418","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
Special feature: modern methods and applications for biodiversity studies 专题:生物多样性研究的现代方法与应用
Japanese Journal of Statistics and Data Science Pub Date : 2023-10-27 DOI: 10.1007/s42081-023-00222-1
Osamu Komori, Yasuhiro Kubota
{"title":"Special feature: modern methods and applications for biodiversity studies","authors":"Osamu Komori, Yasuhiro Kubota","doi":"10.1007/s42081-023-00222-1","DOIUrl":"https://doi.org/10.1007/s42081-023-00222-1","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"22 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136234224","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
Non-minimaxity of debiased shrinkage estimators 无偏差收缩估计量的非极小性
Japanese Journal of Statistics and Data Science Pub Date : 2023-10-06 DOI: 10.1007/s42081-023-00218-x
Yuzo Maruyama, Akimichi Takemura
{"title":"Non-minimaxity of debiased shrinkage estimators","authors":"Yuzo Maruyama, Akimichi Takemura","doi":"10.1007/s42081-023-00218-x","DOIUrl":"https://doi.org/10.1007/s42081-023-00218-x","url":null,"abstract":"Abstract We consider the estimation of the p -variate normal mean of $$Xsim mathcal {N}_p(theta ,I)$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mi>X</mml:mi> <mml:mo>∼</mml:mo> <mml:msub> <mml:mi>N</mml:mi> <mml:mi>p</mml:mi> </mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>θ</mml:mi> <mml:mo>,</mml:mo> <mml:mi>I</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> under the quadratic loss function. We investigate the decision theoretic properties of debiased shrinkage estimator, the estimator which shrinks towards the origin for smaller $$Vert xVert ^2$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:msup> <mml:mrow> <mml:mo>‖</mml:mo> <mml:mi>x</mml:mi> <mml:mo>‖</mml:mo> </mml:mrow> <mml:mn>2</mml:mn> </mml:msup> </mml:math> and which is exactly equal to the unbiased estimator X for larger $$Vert xVert ^2$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:msup> <mml:mrow> <mml:mo>‖</mml:mo> <mml:mi>x</mml:mi> <mml:mo>‖</mml:mo> </mml:mrow> <mml:mn>2</mml:mn> </mml:msup> </mml:math> . Such debiased shrinkage estimator seems superior to the unbiased estimator X , which implies minimaxity. However, we show that it is not minimax under mild conditions.","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135352386","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
CHEMIST: an R package for causal inference with high-dimensional error-prone covariates and misclassified treatments 化学家:一个R包，用于高维易出错协变量和错误分类处理的因果推理
Japanese Journal of Statistics and Data Science Pub Date : 2023-09-30 DOI: 10.1007/s42081-023-00217-y
Li-Pang Chen, Wei-Hsin Hsu
{"title":"CHEMIST: an R package for causal inference with high-dimensional error-prone covariates and misclassified treatments","authors":"Li-Pang Chen, Wei-Hsin Hsu","doi":"10.1007/s42081-023-00217-y","DOIUrl":"https://doi.org/10.1007/s42081-023-00217-y","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136336613","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 the Gumbel–Barnett extended Celebioglu–Cuadras copula 关于Gumbel-Barnett扩展的Celebioglu-Cuadras联结
Japanese Journal of Statistics and Data Science Pub Date : 2023-09-30 DOI: 10.1007/s42081-023-00220-3
Christophe Chesneau
{"title":"On the Gumbel–Barnett extended Celebioglu–Cuadras copula","authors":"Christophe Chesneau","doi":"10.1007/s42081-023-00220-3","DOIUrl":"https://doi.org/10.1007/s42081-023-00220-3","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136336781","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
Chi-squared type test for distributional censored and uncensored validity with numerical assessments and real data applications 用数值评估和实际数据应用对分布截尾和未截尾有效性进行卡方型检验
Japanese Journal of Statistics and Data Science Pub Date : 2023-09-26 DOI: 10.1007/s42081-023-00219-w
Haitham M. Yousof, Khaoula Aidi, G. G. Hamedani, Mohamed Ibrahim
{"title":"Chi-squared type test for distributional censored and uncensored validity with numerical assessments and real data applications","authors":"Haitham M. Yousof, Khaoula Aidi, G. G. Hamedani, Mohamed Ibrahim","doi":"10.1007/s42081-023-00219-w","DOIUrl":"https://doi.org/10.1007/s42081-023-00219-w","url":null,"abstract":"Abstract In this work, we introduce a new chi-squared type test the odd Lindley exponentiated gamma distribution. The new test is an extension of the Nikulin–Rao–Robson test. The new test is tailored to fit the right censored data. The performance of the new test, as well as the baseline Nikulin–Rao–Robson test, are evaluated via numerical simulation. The new test, as well as the baseline Nikulin–Rao–Robson test, are also evaluated using the data. Furthermore, we present some characterization results.","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134958647","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: 1
Revisiting Alwyn H. Gentry’s forest transect data: latitudinal beta diversity patterns are revealed using a statistical sampling-model-based approach 重新审视Alwyn H. Gentry的森林样带数据:使用基于统计抽样模型的方法揭示了纬度贝塔多样性模式
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2023-08-22 DOI: 10.1007/s42081-023-00214-1
A. Chao, Chun‐Huo Chiu, Kai-Hsiang Hu, D. Zelený
{"title":"Revisiting Alwyn H. Gentry’s forest transect data: latitudinal beta diversity patterns are revealed using a statistical sampling-model-based approach","authors":"A. Chao, Chun‐Huo Chiu, Kai-Hsiang Hu, D. Zelený","doi":"10.1007/s42081-023-00214-1","DOIUrl":"https://doi.org/10.1007/s42081-023-00214-1","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44448405","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
Geographic patterns of seed dormancy strategies along latitudinal and climatic gradients, Japanese East Asian islands 日本东亚岛屿种子休眠策略沿纬度和气候梯度的地理模式
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2023-08-21 DOI: 10.1007/s42081-023-00215-0
A. Fuji, Buntarou Kusumoto, Takayuki Shiono, Y. Kubota, W. Ulrich, J. Dickie, Si‐Chong Chen
{"title":"Geographic patterns of seed dormancy strategies along latitudinal and climatic gradients, Japanese East Asian islands","authors":"A. Fuji, Buntarou Kusumoto, Takayuki Shiono, Y. Kubota, W. Ulrich, J. Dickie, Si‐Chong Chen","doi":"10.1007/s42081-023-00215-0","DOIUrl":"https://doi.org/10.1007/s42081-023-00215-0","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47878517","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
Statistical modeling of Peromyscus maniculatus (deer mouse) amounts per trap with spatiotemporal data 利用时空数据对每个诱捕器中的斑尾鹿数量进行统计建模
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2023-07-27 DOI: 10.1007/s42081-023-00212-3
Hsin-Hsiung Huang, Qing He
{"title":"Statistical modeling of Peromyscus maniculatus (deer mouse) amounts per trap with spatiotemporal data","authors":"Hsin-Hsiung Huang, Qing He","doi":"10.1007/s42081-023-00212-3","DOIUrl":"https://doi.org/10.1007/s42081-023-00212-3","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44284776","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
Taylor’s power law and reduced-rank vector generalized linear models Taylor幂律与降秩向量广义线性模型
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2023-07-26 DOI: 10.1007/s42081-023-00211-4
T. Yee
{"title":"Taylor’s power law and reduced-rank vector generalized linear models","authors":"T. Yee","doi":"10.1007/s42081-023-00211-4","DOIUrl":"https://doi.org/10.1007/s42081-023-00211-4","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44862929","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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