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Journal of the Royal Statistical Society Series B-Statistical Methodology最新文献

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Manifold lifting: scaling Markov chain Monte Carlo to the vanishing noise regime 流形提升:缩放马尔可夫链蒙特卡洛到消失的噪声状态
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-24 DOI: 10.1093/jrsssb/qkad023
K. Au, Matthew M. Graham, Alexandre Hoang Thiery
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引用次数: 1
Ordering factorial experiments 排序阶乘实验
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-20 DOI: 10.1093/jrsssb/qkad027
Liuqing Yang, Yongdao Zhou, Min-Qian Liu
{"title":"Ordering factorial experiments","authors":"Liuqing Yang, Yongdao Zhou, Min-Qian Liu","doi":"10.1093/jrsssb/qkad027","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad027","url":null,"abstract":"\u0000 In many practical experiments, both the level combinations of factors and the addition orders will affect the responses. However, virtually no construction methods have been provided for such experimental designs. This paper focuses on such experiments, introduces a new type of design called the ordering factorial design, and proposes the nominal main effect component-position model and interaction-main effect component-position model. To obtain efficient fractional designs, we provide some deterministic construction methods. The resulting designs are D-optimal, and the run sizes are much smaller than that of the full designs. Moreover, in some cases, some constructed designs are still D-optimal after reducing the number of components and factors.","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":"30 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81753929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Peter J Bickel, Derek Bean, Aiyou Chen and Purnamrita Sarkar’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng Peter J Bickel, Derek Bean, Aiyou Chen和Purnamrita Sarkar对Rohe & Zeng的“Vintage Factor Analysis with Varimax执行统计推断”讨论的贡献
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-12 DOI: 10.1093/jrsssb/qkad037
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引用次数: 0
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation. 对随机试验和真实世界数据进行弹性综合分析，以估计治疗异质性。
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-06 eCollection Date: 2023-07-01 DOI: 10.1093/jrsssb/qkad017
Shu Yang, Chenyin Gao, Donglin Zeng, Xiaofei Wang
{"title":"Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation.","authors":"Shu Yang, Chenyin Gao, Donglin Zeng, Xiaofei Wang","doi":"10.1093/jrsssb/qkad017","DOIUrl":"10.1093/jrsssb/qkad017","url":null,"abstract":"<p><p>We propose a test-based elastic integrative analysis of the randomised trial and real-world data to estimate treatment effect heterogeneity with a vector of known effect modifiers. When the real-world data are not subject to bias, our approach combines the trial and real-world data for efficient estimation. Utilising the trial design, we construct a test to decide whether or not to use real-world data. We characterise the asymptotic distribution of the test-based estimator under local alternatives. We provide a data-adaptive procedure to select the test threshold that promises the smallest mean square error and an elastic confidence interval with a good finite-sample coverage property.</p>","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":"85 3","pages":"575-596"},"PeriodicalIF":5.8,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376438/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10035092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tyler J VanderWeele’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng Tyler J VanderWeele对Rohe & Zeng的“Vintage Factor Analysis with variimax演出Statistical Inference”讨论的贡献
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-06 DOI: 10.1093/jrsssb/qkad045
{"title":"Tyler J VanderWeele’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng","authors":"","doi":"10.1093/jrsssb/qkad045","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad045","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":"7 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76307049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” 其次，感谢Rohe & Zeng对“Vintage Factor Analysis with variimax执行统计推断”的讨论所做的贡献
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-06 DOI: 10.1093/jrsssb/qkad031
M. Pensky
{"title":"Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference”","authors":"M. Pensky","doi":"10.1093/jrsssb/qkad031","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad031","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":"13 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90038425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Tao Wang’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng 王涛对Rohe & Zeng“用方差进行统计推理的复古因子分析”讨论的贡献
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-05 DOI: 10.1093/jrsssb/qkad046
T. VanderWeele
{"title":"Tao Wang’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng","authors":"T. VanderWeele","doi":"10.1093/jrsssb/qkad046","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad046","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":"10 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84755440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Yang Liu’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng 杨柳对Rohe & Zeng关于“Vintage Factor Analysis with variimax演出Statistical Inference”的讨论的贡献
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-05 DOI: 10.1093/jrsssb/qkad042
Y. Liu
{"title":"Yang Liu’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng","authors":"Y. Liu","doi":"10.1093/jrsssb/qkad042","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad042","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":"439 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91081087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Mark Pilling's contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng Mark Pilling对Rohe & Zeng的“Vintage Factor Analysis with variimax演出Statistical Inference”讨论的贡献
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-05 DOI: 10.1093/jrsssb/qkad044
M. Pilling
{"title":"Mark Pilling's contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng","authors":"M. Pilling","doi":"10.1093/jrsssb/qkad044","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad044","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":"36 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73894761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Rungang Han and Anru R Zhang’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng 韩润刚、张安儒对Rohe、Zeng“用方差进行统计推理的复古因子分析”讨论的贡献
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-05 DOI: 10.1093/jrsssb/qkad034
Anru R. Zhang
{"title":"Rungang Han and Anru R Zhang’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng","authors":"Anru R. Zhang","doi":"10.1093/jrsssb/qkad034","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad034","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":"25 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90079238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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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