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Generalized Data Thinning Using Sufficient Statistics 利用充分统计进行广义数据稀释
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-13 DOI: 10.1080/01621459.2024.2353948
Ameer Dharamshi, Anna Neufeld, Keshav Motwani, Lucy L. Gao, Daniela Witten, Jacob Bien
{"title":"Generalized Data Thinning Using Sufficient Statistics","authors":"Ameer Dharamshi, Anna Neufeld, Keshav Motwani, Lucy L. Gao, Daniela Witten, Jacob Bien","doi":"10.1080/01621459.2024.2353948","DOIUrl":"https://doi.org/10.1080/01621459.2024.2353948","url":null,"abstract":"Our goal is to develop a general strategy to decompose a random variable X into multiple independent random variables, without sacrificing any information about unknown parameters. A recent paper s...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141329716","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
Tyranny-of-the-minority Regression Adjustment in Randomized Experiments 随机实验中的少数服从多数回归调整
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-12 DOI: 10.1080/01621459.2024.2366043
Xin Lu, Hanzhong Liu
{"title":"Tyranny-of-the-minority Regression Adjustment in Randomized Experiments","authors":"Xin Lu, Hanzhong Liu","doi":"10.1080/01621459.2024.2366043","DOIUrl":"https://doi.org/10.1080/01621459.2024.2366043","url":null,"abstract":"Abstract–Regression adjustment is widely used in the analysis of randomized experiments to improve the estimation efficiency of the treatment effect. This paper reexamines a weighted regression adj...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315590","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
Nonparametric Multiple-Output Center-Outward Quantile Regression 非参数多产出中心向外量值回归
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-11 DOI: 10.1080/01621459.2024.2366029
Eustasio del Barrio, Alberto González Sanz, Marc Hallin
{"title":"Nonparametric Multiple-Output Center-Outward Quantile Regression","authors":"Eustasio del Barrio, Alberto González Sanz, Marc Hallin","doi":"10.1080/01621459.2024.2366029","DOIUrl":"https://doi.org/10.1080/01621459.2024.2366029","url":null,"abstract":"Building on recent measure-transportation-based concepts of multivariate quantiles, we are considering the problem of nonparametric multiple-output quantile regression. Our approach defines nested ...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304548","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
Test and Measure for Partial Mean Dependence Based on Machine Learning Methods 基于机器学习方法的部分均值依赖性测试和测量方法
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-11 DOI: 10.1080/01621459.2024.2366030
Leheng Cai, Xu Guo, Wei Zhong
{"title":"Test and Measure for Partial Mean Dependence Based on Machine Learning Methods","authors":"Leheng Cai, Xu Guo, Wei Zhong","doi":"10.1080/01621459.2024.2366030","DOIUrl":"https://doi.org/10.1080/01621459.2024.2366030","url":null,"abstract":"It is of importance to investigate the significance of a subset of covariates W for the response Y given covariates Z in regression modeling. To this end, we propose a significance test for the par...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304549","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
Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform 形状的随机性和通过平滑欧拉特征变换对形状进行统计推断
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-31 DOI: 10.1080/01621459.2024.2353947
Kun Meng, Jinyu Wang, Lorin Crawford, Ani Eloyan
{"title":"Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform","authors":"Kun Meng, Jinyu Wang, Lorin Crawford, Ani Eloyan","doi":"10.1080/01621459.2024.2353947","DOIUrl":"https://doi.org/10.1080/01621459.2024.2353947","url":null,"abstract":"In this article, we establish the mathematical foundations for modeling the randomness of shapes and conducting statistical inference on shapes using the smooth Euler characteristic transform. Base...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141309040","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
Graph-Aligned Random Partition Model (GARP) 图对齐随机分区模型（GARP）
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-30 DOI: 10.1080/01621459.2024.2353943
Giovanni Rebaudo, Peter Müller
{"title":"Graph-Aligned Random Partition Model (GARP)","authors":"Giovanni Rebaudo, Peter Müller","doi":"10.1080/01621459.2024.2353943","DOIUrl":"https://doi.org/10.1080/01621459.2024.2353943","url":null,"abstract":"Bayesian nonparametric mixtures and random partition models are powerful tools for probabilistic clustering. However, standard independent mixture models can be restrictive in some applications suc...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304321","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
Efficient stochastic generators with spherical harmonic transformation for high-resolution global climate simulations from CESM2-LENS2 用于 CESM2-LENS2 高分辨率全球气候模拟的球谐波变换高效随机发生器
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-29 DOI: 10.1080/01621459.2024.2360666
Yan Song, Zubair Khalid, Marc G. Genton
{"title":"Efficient stochastic generators with spherical harmonic transformation for high-resolution global climate simulations from CESM2-LENS2","authors":"Yan Song, Zubair Khalid, Marc G. Genton","doi":"10.1080/01621459.2024.2360666","DOIUrl":"https://doi.org/10.1080/01621459.2024.2360666","url":null,"abstract":"Earth system models (ESMs) are fundamental for understanding Earth’s complex climate system. However, the computational demands and storage requirements of ESM simulations limit their utility. For ...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319847","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
Generalizing the intention-to-treat effect of an active control from historical placebo-controlled trials: A case study of the efficacy of daily oral TDF/FTC in the HPTN 084 study 从历史安慰剂对照试验中归纳积极对照的意向治疗效果：HPTN 084研究中每日口服TDF/FTC疗效的案例研究
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-29 DOI: 10.1080/01621459.2024.2360643
Qijia He, Fei Gao, Oliver Dukes, Sinead Delany-Moretlwe, Bo Zhang
{"title":"Generalizing the intention-to-treat effect of an active control from historical placebo-controlled trials: A case study of the efficacy of daily oral TDF/FTC in the HPTN 084 study","authors":"Qijia He, Fei Gao, Oliver Dukes, Sinead Delany-Moretlwe, Bo Zhang","doi":"10.1080/01621459.2024.2360643","DOIUrl":"https://doi.org/10.1080/01621459.2024.2360643","url":null,"abstract":"In many clinical settings, an active-controlled trial design (e.g., a non-inferiority or superiority design) is often used to compare an experimental medicine to an active control (e.g., an FDA-app...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315669","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
False Discovery Rate Control For Structured Multiple Testing: Asymmetric Rules And Conformal Q-values 结构化多重检验的错误发现率控制：非对称规则和共形 Q 值
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-28 DOI: 10.1080/01621459.2024.2359739
Zinan Zhao, Wenguang Sun
{"title":"False Discovery Rate Control For Structured Multiple Testing: Asymmetric Rules And Conformal Q-values","authors":"Zinan Zhao, Wenguang Sun","doi":"10.1080/01621459.2024.2359739","DOIUrl":"https://doi.org/10.1080/01621459.2024.2359739","url":null,"abstract":"The effective utilization of structural information in data while ensuring statistical validity poses a significant challenge in false discovery rate (FDR) analyses. Conformal inference provides ri...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141333774","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
Node-level community detection within edge exchangeable models for interaction processes 交互过程边缘可交换模型中的节点级群落检测
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-28 DOI: 10.1080/01621459.2024.2358560
Yuhua Zhang, Walter Dempsey
{"title":"Node-level community detection within edge exchangeable models for interaction processes","authors":"Yuhua Zhang, Walter Dempsey","doi":"10.1080/01621459.2024.2358560","DOIUrl":"https://doi.org/10.1080/01621459.2024.2358560","url":null,"abstract":"Scientists are increasingly interested in discovering community structure from modern relational data arising on large-scale social networks. While many methods have been proposed for learning comm...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141333776","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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