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Japanese Journal of Statistics and Data Science最新文献

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Asymptotically efficient estimation for diffusion processes with nonsynchronous observations 非同步观测扩散过程的渐近有效估计
IF 1.3 Q3 STATISTICS & PROBABILITY Pub Date : 2022-07-01 DOI: 10.1007/s42081-023-00196-0
Teppei Ogihara
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引用次数: 0
On the estimation of the jump activity index in the case of random observation times 随机观测次数下跳跃活动指数的估计
IF 1.3 Q3 STATISTICS & PROBABILITY Pub Date : 2022-06-23 DOI: 10.1007/s42081-023-00187-1
Adrian Theopold, Mathias Vetter
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引用次数: 0
Coordinate descent algorithm of generalized fused Lasso logistic regression for multivariate trend filtering 多元趋势滤波的广义融合Lasso逻辑回归坐标下降算法
IF 1.3 Q3 STATISTICS & PROBABILITY Pub Date : 2022-06-02 DOI: 10.1007/s42081-022-00162-2
M. Ohishi, Mariko Yamamura, H. Yanagihara
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引用次数: 3
Uniform consistency and uniform in number of neighbors consistency for nonparametric regression estimates and conditional U-statistics involving functional data 涉及函数数据的非参数回归估计和条件u统计的一致一致性和一致邻居数一致性
IF 1.3 Q3 STATISTICS & PROBABILITY Pub Date : 2022-05-28 DOI: 10.1007/s42081-022-00161-3
S. Bouzebda, Amel Nezzal
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引用次数: 17
Numerical computation for the exact distribution of Roy’s largest root statistic under linear alternative 线性选择下罗伊最大根统计量精确分布的数值计算
IF 1.3 Q3 STATISTICS & PROBABILITY Pub Date : 2022-05-24 DOI: 10.1007/s42081-022-00182-y
Koki Shimizu, Hiroki Hashiguchi
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引用次数: 0
Detection of space–time clusters using a topological hierarchy for geospatial data on COVID-19 in Japan 使用拓扑层次对日本新冠肺炎地理空间数据进行时空聚类检测
IF 1.3 Q3 STATISTICS & PROBABILITY Pub Date : 2022-05-12 DOI: 10.1007/s42081-022-00159-x
Yusuke Takemura, Fumio Ishioka, K. Kurihara
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引用次数: 3
Correction to: An integrated framework for visualizing and forecasting realized covariance matrices 更正:可视化和预测已实现协方差矩阵的集成框架
IF 1.3 Q3 STATISTICS & PROBABILITY Pub Date : 2022-04-25 DOI: 10.1007/s42081-022-00160-4
Hideto Shigemoto, Takayuki Morimoto
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引用次数: 0
On the consistent estimation of linkage errors without training data 无训练数据联动误差的一致性估计
IF 1.3 Q3 STATISTICS & PROBABILITY Pub Date : 2022-04-23 DOI: 10.1007/s42081-022-00153-3
A. Dasylva, Arthur Goussanou
{"title":"On the consistent estimation of linkage errors without training data","authors":"A. Dasylva, Arthur Goussanou","doi":"10.1007/s42081-022-00153-3","DOIUrl":"https://doi.org/10.1007/s42081-022-00153-3","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"5 1","pages":"181 - 216"},"PeriodicalIF":1.3,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45621956","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 nonparametric quantile mixed-effects models via regularization using Gaussian process priors 基于高斯先验正则化的贝叶斯非参数分位数混合效应模型
IF 1.3 Q3 STATISTICS & PROBABILITY Pub Date : 2022-04-19 DOI: 10.1007/s42081-022-00158-y
Yuta Tanabe, Yuko Araki, M. Kinoshita, Hisayoshi Okamura, S. Iwata, O. Iwata
{"title":"Bayesian nonparametric quantile mixed-effects models via regularization using Gaussian process priors","authors":"Yuta Tanabe, Yuko Araki, M. Kinoshita, Hisayoshi Okamura, S. Iwata, O. Iwata","doi":"10.1007/s42081-022-00158-y","DOIUrl":"https://doi.org/10.1007/s42081-022-00158-y","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"5 1","pages":"241 - 267"},"PeriodicalIF":1.3,"publicationDate":"2022-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45748373","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
Real world data and data science in medical research: present and future 医学研究中的真实世界数据与数据科学:现状与未来
IF 1.3 Q3 STATISTICS & PROBABILITY Pub Date : 2022-04-13 DOI: 10.1007/s42081-022-00156-0
K. Togo, N. Yonemoto
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引用次数: 6
期刊
Japanese Journal of Statistics and Data Science
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