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Japanese Journal of Statistics and Data Science最新文献

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Time-dependent association for bivariate interval censored data 二元区间截尾数据的时变关联
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2021-10-16 DOI: 10.1007/s42081-021-00132-0
Yang-jin Kim, Narae Lee
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引用次数: 1
Use of primary decomposition of polynomial ideals arising from indicator functions to enumerate orthogonal fractions 利用由指示函数产生的多项式理想的初等分解来枚举正交分数
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2021-09-30 DOI: 10.1007/s42081-022-00149-z
S. Aoki, M. Noro
{"title":"Use of primary decomposition of polynomial ideals arising from indicator functions to enumerate orthogonal fractions","authors":"S. Aoki, M. Noro","doi":"10.1007/s42081-022-00149-z","DOIUrl":"https://doi.org/10.1007/s42081-022-00149-z","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"5 1","pages":"165 - 179"},"PeriodicalIF":1.3,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45188159","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
Bayesian estimation for misclassification rate in linear discriminant analysis 线性判别分析中误分类率的贝叶斯估计
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2021-09-17 DOI: 10.1007/s42081-021-00139-7
Koshiro Yonenaga, A. Suzukawa
{"title":"Bayesian estimation for misclassification rate in linear discriminant analysis","authors":"Koshiro Yonenaga, A. Suzukawa","doi":"10.1007/s42081-021-00139-7","DOIUrl":"https://doi.org/10.1007/s42081-021-00139-7","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"4 1","pages":"861 - 885"},"PeriodicalIF":1.3,"publicationDate":"2021-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48042881","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
Assessing the numerical integration of dynamic prediction formulas using the exact expressions under the joint frailty-copula model 在联合脆弱copula模型下使用精确表达式评估动态预测公式的数值积分
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2021-08-20 DOI: 10.1007/s42081-021-00133-z
Ryo Kawakami, H. Michimae, Yuan-Hsin Lin
{"title":"Assessing the numerical integration of dynamic prediction formulas using the exact expressions under the joint frailty-copula model","authors":"Ryo Kawakami, H. Michimae, Yuan-Hsin Lin","doi":"10.1007/s42081-021-00133-z","DOIUrl":"https://doi.org/10.1007/s42081-021-00133-z","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"4 1","pages":"1293 - 1321"},"PeriodicalIF":1.3,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42081-021-00133-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49063211","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: 7
Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data 高维、低样本数据的距离加权判别的渐近性质及其偏差校正
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2021-08-09 DOI: 10.1007/s42081-022-00167-x
Kento Egashira, K. Yata, M. Aoshima
{"title":"Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data","authors":"Kento Egashira, K. Yata, M. Aoshima","doi":"10.1007/s42081-022-00167-x","DOIUrl":"https://doi.org/10.1007/s42081-022-00167-x","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"4 1","pages":"821 - 840"},"PeriodicalIF":1.3,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44517148","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
General classes of complementary distributions via random maxima and their discrete version 通过随机极大值的互补分布的一般类别及其离散版本
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2021-08-04 DOI: 10.1007/s42081-021-00136-w
K. Jayakumar, M. G. Babu, H. Bakouch
{"title":"General classes of complementary distributions via random maxima and their discrete version","authors":"K. Jayakumar, M. G. Babu, H. Bakouch","doi":"10.1007/s42081-021-00136-w","DOIUrl":"https://doi.org/10.1007/s42081-021-00136-w","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"4 1","pages":"797 - 820"},"PeriodicalIF":1.3,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42081-021-00136-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41959385","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: Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model 修正:在强尖峰特征值模型下对高维平均向量的推断
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2021-07-07 DOI: 10.1007/S42081-021-00130-2
Aki Ishii, K. Yata, M. Aoshima
{"title":"Correction to: Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model","authors":"Aki Ishii, K. Yata, M. Aoshima","doi":"10.1007/S42081-021-00130-2","DOIUrl":"https://doi.org/10.1007/S42081-021-00130-2","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"4 1","pages":"887 - 888"},"PeriodicalIF":1.3,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/S42081-021-00130-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47856726","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
Semiparametric likelihood inference for heterogeneous survival data under double truncation based on a Poisson birth process 基于泊松出生过程的双截断异构生存数据的半参数似然推断
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2021-07-06 DOI: 10.1007/s42081-021-00128-w
A. Dörre
{"title":"Semiparametric likelihood inference for heterogeneous survival data under double truncation based on a Poisson birth process","authors":"A. Dörre","doi":"10.1007/s42081-021-00128-w","DOIUrl":"https://doi.org/10.1007/s42081-021-00128-w","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"4 1","pages":"1203 - 1226"},"PeriodicalIF":1.3,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42081-021-00128-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47507278","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: 6
Analysis of COVID-19 evolution based on testing closeness of sequential data 基于序列数据检测的COVID-19演化分析
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2021-06-30 DOI: 10.1007/s42081-021-00144-w
Tomoko Matsui, Nourddine Azzaoui, D. Murakami
{"title":"Analysis of COVID-19 evolution based on testing closeness of sequential data","authors":"Tomoko Matsui, Nourddine Azzaoui, D. Murakami","doi":"10.1007/s42081-021-00144-w","DOIUrl":"https://doi.org/10.1007/s42081-021-00144-w","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"5 1","pages":"321 - 338"},"PeriodicalIF":1.3,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45130208","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: 3
Comparison of variance estimation methods in semiparametric accelerated failure time models for multivariate failure time data 多变量失效时间数据半参数加速失效时间模型方差估计方法的比较
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2021-06-26 DOI: 10.1007/s42081-021-00126-y
Kyuhyun Kim, Jung-Hwan Ko, Sangwook Kang
{"title":"Comparison of variance estimation methods in semiparametric accelerated failure time models for multivariate failure time data","authors":"Kyuhyun Kim, Jung-Hwan Ko, Sangwook Kang","doi":"10.1007/s42081-021-00126-y","DOIUrl":"https://doi.org/10.1007/s42081-021-00126-y","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"4 1","pages":"1179 - 1202"},"PeriodicalIF":1.3,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42081-021-00126-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41568972","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
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