{"title":"PALAR: Estimation of Absolute Abundance Effects in Regression with Relative Abundance Predictors","authors":"Yiluan Li, Qiyu Wang, Zekang Feng, Xueqin Wang, Zheng-Zheng Tang","doi":"10.1080/01621459.2025.2596250","DOIUrl":"https://doi.org/10.1080/01621459.2025.2596250","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"166 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753095","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}
Pub Date : 2025-12-10DOI: 10.1080/01621459.2025.2595733
Menglu Che, Ting Li, Wenliang Pan, Xueqin Wang, Heping Zhang
{"title":"Ball Impurity: Measuring Heterogeneity in General Metric Spaces","authors":"Menglu Che, Ting Li, Wenliang Pan, Xueqin Wang, Heping Zhang","doi":"10.1080/01621459.2025.2595733","DOIUrl":"https://doi.org/10.1080/01621459.2025.2595733","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"362 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753092","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}
Pub Date : 2025-12-10DOI: 10.1080/01621459.2025.2596288
Michael Weylandt, George Michailidis
{"title":"Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA","authors":"Michael Weylandt, George Michailidis","doi":"10.1080/01621459.2025.2596288","DOIUrl":"https://doi.org/10.1080/01621459.2025.2596288","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"56 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753097","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}
Pub Date : 2025-12-10DOI: 10.1080/01621459.2025.2594185
Antonio R. Linero
{"title":"Bayesian Nonparametric Quasi Likelihood","authors":"Antonio R. Linero","doi":"10.1080/01621459.2025.2594185","DOIUrl":"https://doi.org/10.1080/01621459.2025.2594185","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"148 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753128","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}
Pub Date : 2025-12-10DOI: 10.1080/01621459.2025.2597043
Seong Jin Lee, Will Wei Sun, Yufeng Liu
{"title":"Low-Rank Online Dynamic Assortment with Dual Contextual Information","authors":"Seong Jin Lee, Will Wei Sun, Yufeng Liu","doi":"10.1080/01621459.2025.2597043","DOIUrl":"https://doi.org/10.1080/01621459.2025.2597043","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"22 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753154","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}
Pub Date : 2025-12-08DOI: 10.1080/01621459.2025.2572778
J E Borgert, Jan Hannig, J D Tucker, Liubov Arbeeva, Ashley N Buck, Yvonne M Golightly, Stephen P Messier, Amanda E Nelson, J S Marron
Osteoarthritis (OA) is a highly prevalent degenerative joint disease, and the knee is the most commonly affected joint. Biomechanical factors, particularly forces exerted during walking, are often measured in modern studies of knee joint injury and OA, and understanding the relationship among biomechanics, clinical profiles, and OA has high clinical relevance. Biomechanical forces are typically represented as curves over time, but a standard practice in biomechanics research is to summarize these curves by a small number of discrete values (or landmarks). The objective of this work is to demonstrate the added value of analyzing full movement curves over conventional discrete summaries. We developed a shape-based representation of variation in full biomechanical curve data from the Intensive Diet and Exercise for Arthritis (IDEA) study (Messier et al., 2009, 2013), and demonstrated through nested model comparisons that our approach, compared to conventional discrete summaries, yields stronger associations with OA severity and OA-related clinical traits. Notably, our work is among the first to quantitatively evaluate the added value of analyzing full movement curves over conventional discrete summaries.
骨关节炎（OA）是一种非常普遍的退行性关节疾病，膝关节是最常见的关节。生物力学因素，特别是行走时施加的力，在膝关节损伤和OA的现代研究中经常被测量，理解生物力学、临床特征和OA之间的关系具有很高的临床相关性。生物力学力通常表现为随时间变化的曲线，但生物力学研究的标准做法是用少量离散值（或地标）来总结这些曲线。这项工作的目的是证明分析完整的运动曲线比传统的离散总结的附加价值。我们从强化饮食和运动治疗关节炎（IDEA）研究（Messier et al., 2009, 2013）中开发了一种基于形状的完整生物力学曲线数据变异表示，并通过嵌套模型比较证明，与传统的离散总结相比，我们的方法与OA严重程度和OA相关临床特征有更强的相关性。值得注意的是，我们的工作是第一批定量评估分析完整运动曲线比传统离散总结的附加值的研究之一。
{"title":"Elastic Shape Analysis of Movement Data.","authors":"J E Borgert, Jan Hannig, J D Tucker, Liubov Arbeeva, Ashley N Buck, Yvonne M Golightly, Stephen P Messier, Amanda E Nelson, J S Marron","doi":"10.1080/01621459.2025.2572778","DOIUrl":"10.1080/01621459.2025.2572778","url":null,"abstract":"<p><p>Osteoarthritis (OA) is a highly prevalent degenerative joint disease, and the knee is the most commonly affected joint. Biomechanical factors, particularly forces exerted during walking, are often measured in modern studies of knee joint injury and OA, and understanding the relationship among biomechanics, clinical profiles, and OA has high clinical relevance. Biomechanical forces are typically represented as curves over time, but a standard practice in biomechanics research is to summarize these curves by a small number of discrete values (or <i>landmarks</i>). The objective of this work is to demonstrate the added value of analyzing full movement curves over conventional discrete summaries. We developed a shape-based representation of variation in full biomechanical curve data from the Intensive Diet and Exercise for Arthritis (IDEA) study (Messier et al., 2009, 2013), and demonstrated through nested model comparisons that our approach, compared to conventional discrete summaries, yields stronger associations with OA severity and OA-related clinical traits. Notably, our work is among the first to quantitatively evaluate the added value of analyzing full movement curves over conventional discrete summaries.</p>","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12755838/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145889476","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}
Pub Date : 2025-12-08DOI: 10.1080/01621459.2025.2563189
Tianwen Ma, Jane E. Huggins, Jian Kang
{"title":"Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface","authors":"Tianwen Ma, Jane E. Huggins, Jian Kang","doi":"10.1080/01621459.2025.2563189","DOIUrl":"https://doi.org/10.1080/01621459.2025.2563189","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"3 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145697008","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}
Pub Date : 2025-12-05DOI: 10.1080/01621459.2025.2591232
Ruqian Zhang, Yijiao Zhang, Annie Qu, Zhongyi Zhu, Juan Shen
{"title":"Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior","authors":"Ruqian Zhang, Yijiao Zhang, Annie Qu, Zhongyi Zhu, Juan Shen","doi":"10.1080/01621459.2025.2591232","DOIUrl":"https://doi.org/10.1080/01621459.2025.2591232","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"20 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680056","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}
Pub Date : 2025-12-05DOI: 10.1080/01621459.2025.2590775
Yin Tang, Bing Li
{"title":"Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction","authors":"Yin Tang, Bing Li","doi":"10.1080/01621459.2025.2590775","DOIUrl":"https://doi.org/10.1080/01621459.2025.2590775","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"203 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680060","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}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号