发布求助
文献互助 智能选刊 最新文献

Journal of the American Statistical Association最新文献

筛选
英文 中文
Bending the Learning Curve for EHR Research via Knowledge-Driven Online Multimodal Automated Phenotyping System 通过知识驱动的在线多模式自动表型系统弯曲EHR研究的学习曲线
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2026-09-09 DOI: 10.1080/01621459.2026.2730499
Xin Xiong,Sara Morini Sweet,Chuan Hong,Clara-Lea Bonzel,Vidul Ayakulangara Panickan,Doudou Zhou,Linshanshan Wang,William Meyerson,Lauren Costa,Yuk-Lam Ho,Alon Geva,Kenneth D. Mandl,Suchun Cheng,Isaac Kohane,Griffin Weber,J. Michael Gaziano,Michele Morris,Zongqi Xia,Kelly Cho,Katherine P. Liao,Tianrun Cai,Molei Liu,Tianxi Cai
{"title":"Bending the Learning Curve for EHR Research via Knowledge-Driven Online Multimodal Automated Phenotyping System","authors":"Xin Xiong,Sara Morini Sweet,Chuan Hong,Clara-Lea Bonzel,Vidul Ayakulangara Panickan,Doudou Zhou,Linshanshan Wang,William Meyerson,Lauren Costa,Yuk-Lam Ho,Alon Geva,Kenneth D. Mandl,Suchun Cheng,Isaac Kohane,Griffin Weber,J. Michael Gaziano,Michele Morris,Zongqi Xia,Kelly Cho,Katherine P. Liao,Tianrun Cai,Molei Liu,Tianxi Cai","doi":"10.1080/01621459.2026.2730499","DOIUrl":"https://doi.org/10.1080/01621459.2026.2730499","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"5 1","pages":"1-32"},"PeriodicalIF":3.7,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932614","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
A Unified Framework for Rerandomization using Quadratic Forms 二次型再随机化的统一框架
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2026-09-08 DOI: 10.1080/01621459.2026.2702652
Kyle Schindl,Zach Branson
{"title":"A Unified Framework for Rerandomization using Quadratic Forms","authors":"Kyle Schindl,Zach Branson","doi":"10.1080/01621459.2026.2702652","DOIUrl":"https://doi.org/10.1080/01621459.2026.2702652","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"12 1","pages":"1-12"},"PeriodicalIF":3.7,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932622","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 Statistics on Stratified Spaces and Their Applications in Object Data Analysis. 分层空间的非参数统计及其在对象数据分析中的应用。
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2026-09-08 DOI: 10.1080/01621459.2026.2723305
Lingxuan Shao
{"title":"Nonparametric Statistics on Stratified Spaces and Their Applications in Object Data Analysis.","authors":"Lingxuan Shao","doi":"10.1080/01621459.2026.2723305","DOIUrl":"https://doi.org/10.1080/01621459.2026.2723305","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"69 1","pages":"1-2"},"PeriodicalIF":3.7,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932620","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
Random Patterns and Structures in Spatial Data. 空间数据中的随机模式和结构。
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2026-09-08 DOI: 10.1080/01621459.2026.2729134
Emilio Porcu,Marcos López de Prado
{"title":"Random Patterns and Structures in Spatial Data.","authors":"Emilio Porcu,Marcos López de Prado","doi":"10.1080/01621459.2026.2729134","DOIUrl":"https://doi.org/10.1080/01621459.2026.2729134","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"12 1","pages":"1-8"},"PeriodicalIF":3.7,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932619","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
Guided Adversarial Robust Transfer Learning with Source Mixing 基于源混合的导引对抗鲁棒迁移学习
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2026-09-08 DOI: 10.1080/01621459.2026.2675620
Xin Xiong,Zijian Guo,Tianxi Cai
{"title":"Guided Adversarial Robust Transfer Learning with Source Mixing","authors":"Xin Xiong,Zijian Guo,Tianxi Cai","doi":"10.1080/01621459.2026.2675620","DOIUrl":"https://doi.org/10.1080/01621459.2026.2675620","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"5 1","pages":"1-14"},"PeriodicalIF":3.7,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932621","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
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints 异构分布差分隐私约束下非参数回归的最优联邦学习
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2026-09-08 DOI: 10.1080/01621459.2026.2731119
T. Tony Cai,Abhinav Chakraborty,Lasse Vuursteen
{"title":"Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints","authors":"T. Tony Cai,Abhinav Chakraborty,Lasse Vuursteen","doi":"10.1080/01621459.2026.2731119","DOIUrl":"https://doi.org/10.1080/01621459.2026.2731119","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"5 1","pages":"1-87"},"PeriodicalIF":3.7,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932618","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
Taxonomy and Estimation of Multiple Breakpoints in High-Dimensional Factor Models* 高维因子模型中多重断点的分类与估计*
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2026-09-08 DOI: 10.1080/01621459.2026.2719782
Jiangtao Duan,Jushan Bai,Xu Han
{"title":"Taxonomy and Estimation of Multiple Breakpoints in High-Dimensional Factor Models*","authors":"Jiangtao Duan,Jushan Bai,Xu Han","doi":"10.1080/01621459.2026.2719782","DOIUrl":"https://doi.org/10.1080/01621459.2026.2719782","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"75 1","pages":"1-123"},"PeriodicalIF":3.7,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933725","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
Bayesian Spatiotemporal Wombling. 贝叶斯时空模糊。
IF 4 1区 数学
Journal of the American Statistical Association Pub Date : 2026-09-08 DOI: 10.1080/01621459.2026.2700798
Aritra Halder, Didong Li, Sudipto Banerjee
{"title":"Bayesian Spatiotemporal Wombling.","authors":"Aritra Halder, Didong Li, Sudipto Banerjee","doi":"10.1080/01621459.2026.2700798","DOIUrl":"10.1080/01621459.2026.2700798","url":null,"abstract":"<p><p>Stochastic process models for spatiotemporal data underlying random fields find substantial utility in a range of scientific disciplines. Subsequent to predictive inference on the values of the random field (or spatial surface indexed continuously over time) at arbitrary space-time coordinates, scientific interest often turns to gleaning information regarding zones of rapid spatial-temporal change. We develop Bayesian modeling and inference for directional rates of change along a given surface. These surfaces, which demarcate regions of rapid change, are referred to as \"<i>wombling</i>\" <i>surface boundaries</i>. Existing methods for studying such changes have often been associated with curves and are not easily extendable to surfaces resulting from curves evolving over time. Our current contribution devises a fully model-based inferential framework for analyzing differential behavior in spatiotemporal responses by formalizing the notion of a \"wombling\" surface boundary using conventional multi-linear vector analytic frameworks and geometry followed by posterior predictive computations using triangulated surface approximations. We illustrate our methodology with comprehensive simulation experiments followed by multiple applications in neuroimaging; environmental and climate science and pollutant analysis in environmental health. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.</p>","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13664449/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149194843","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
Observable versus Latent Factors 可观察因素与潜在因素
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2026-09-08 DOI: 10.1080/01621459.2026.2701436
Yuan Liao,Viktor Todorov
{"title":"Observable versus Latent Factors","authors":"Yuan Liao,Viktor Todorov","doi":"10.1080/01621459.2026.2701436","DOIUrl":"https://doi.org/10.1080/01621459.2026.2701436","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"267 1","pages":"1-11"},"PeriodicalIF":3.7,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932615","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
A Distributionally Robust Optimization Framework for Extreme Event Estimation 极端事件估计的分布鲁棒优化框架
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2026-09-08 DOI: 10.1080/01621459.2026.2731641
Yuanlu Bai,Henry Lam,Xinyu Zhang
{"title":"A Distributionally Robust Optimization Framework for Extreme Event Estimation","authors":"Yuanlu Bai,Henry Lam,Xinyu Zhang","doi":"10.1080/01621459.2026.2731641","DOIUrl":"https://doi.org/10.1080/01621459.2026.2731641","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"81 1","pages":"1-115"},"PeriodicalIF":3.7,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932623","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书