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Spatial modeling and future projection of extreme precipitation extents 极端降水范围的空间建模和未来预测
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-03 DOI: 10.1080/01621459.2024.2408045
Peng Zhong, Manuela Brunner, Thomas Opitz, Raphaël Huser
{"title":"Spatial modeling and future projection of extreme precipitation extents","authors":"Peng Zhong, Manuela Brunner, Thomas Opitz, Raphaël Huser","doi":"10.1080/01621459.2024.2408045","DOIUrl":"https://doi.org/10.1080/01621459.2024.2408045","url":null,"abstract":"Extreme precipitation events with large spatial extents may have more severe impacts than localized events as they can lead to widespread flooding. It is debated how climate change may affect the s...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"18 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142486734","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
Quantification of vaccine waning as a challenge effect 量化疫苗减弱的挑战效应
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-03 DOI: 10.1080/01621459.2024.2408776
Matias Janvin, Mats J. Stensrud
{"title":"Quantification of vaccine waning as a challenge effect","authors":"Matias Janvin, Mats J. Stensrud","doi":"10.1080/01621459.2024.2408776","DOIUrl":"https://doi.org/10.1080/01621459.2024.2408776","url":null,"abstract":"Knowing whether vaccine protection wanes over time is important for health policy and drug development. However, quantifying waning effects is difficult. A simple contrast of vaccine efficacy at tw...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"49 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374034","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
Euclidean mirrors and dynamics in network time series 网络时间序列中的欧氏镜像和动态性
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-01 DOI: 10.1080/01621459.2024.2392912
Avanti Athreya, Zachary Lubberts, Youngser Park, Carey Priebe
{"title":"Euclidean mirrors and dynamics in network time series","authors":"Avanti Athreya, Zachary Lubberts, Youngser Park, Carey Priebe","doi":"10.1080/01621459.2024.2392912","DOIUrl":"https://doi.org/10.1080/01621459.2024.2392912","url":null,"abstract":"Analyzing changes in network evolution is central to statistical network inference. We consider a dynamic network model in which each node has an associated time-varying low-dimensional latent vect...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"85 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374036","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
Spatial Statistics for Data Science: Theory and Practice with R. 数据科学的空间统计学：使用 R 的理论与实践
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-01 DOI: 10.1080/01621459.2024.2406581
Chae Young Lim
{"title":"Spatial Statistics for Data Science: Theory and Practice with R.","authors":"Chae Young Lim","doi":"10.1080/01621459.2024.2406581","DOIUrl":"https://doi.org/10.1080/01621459.2024.2406581","url":null,"abstract":"Published in Journal of the American Statistical Association (Just accepted, 2024)","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"42 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374035","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
Using Penalized Synthetic Controls on Truncated data: A Case Study on Effect of Marijuana Legalization on Direct Payments to Physicians by Opioid Manufacturers 对截断数据使用惩罚性合成控制：大麻合法化对阿片类药物制造商向医生直接付款的影响案例研究
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-09-26 DOI: 10.1080/01621459.2024.2406583
Bikram Karmakar, Gourab Mukherjee, Wreetabrata Kar
{"title":"Using Penalized Synthetic Controls on Truncated data: A Case Study on Effect of Marijuana Legalization on Direct Payments to Physicians by Opioid Manufacturers","authors":"Bikram Karmakar, Gourab Mukherjee, Wreetabrata Kar","doi":"10.1080/01621459.2024.2406583","DOIUrl":"https://doi.org/10.1080/01621459.2024.2406583","url":null,"abstract":"Amid increasing awareness regarding opioid addiction, medical marijuana has emerged as a substitute to opioids for pain management. Concurrently, opioid manufacturers are putting significant resear...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"08 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142325562","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
Estimating Higher-Order Mixed Memberships via the ℓ2,∞ Tensor Perturbation Bound 通过 ℓ2,∞ 张量扰动约束估算高阶混合成员资格
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-09-23 DOI: 10.1080/01621459.2024.2404265
Joshua Agterberg, Anru R. Zhang
{"title":"Estimating Higher-Order Mixed Memberships via the ℓ2,∞ Tensor Perturbation Bound","authors":"Joshua Agterberg, Anru R. Zhang","doi":"10.1080/01621459.2024.2404265","DOIUrl":"https://doi.org/10.1080/01621459.2024.2404265","url":null,"abstract":"Higher-order multiway data is ubiquitous in machine learning and statistics and often exhibits community-like structures, where each component (node) along each different mode has a community membe...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"21 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142317731","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
Robust estimation for number of factors in high dimensional factor modeling via Spearman correlation matrix 通过斯皮尔曼相关矩阵对高维因子模型中的因子数量进行稳健估计
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-09-20 DOI: 10.1080/01621459.2024.2402565
Jiaxin Qiu, Zeng Li, Jianfeng Yao
{"title":"Robust estimation for number of factors in high dimensional factor modeling via Spearman correlation matrix","authors":"Jiaxin Qiu, Zeng Li, Jianfeng Yao","doi":"10.1080/01621459.2024.2402565","DOIUrl":"https://doi.org/10.1080/01621459.2024.2402565","url":null,"abstract":"Determining the number of factors in high-dimensional factor modeling is essential but challenging, especially when the data are heavy-tailed. In this paper, we introduce a new estimator based on t...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"21 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142276071","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
Neyman-Pearson Multi-class Classification via Cost-sensitive Learning 通过成本敏感型学习进行奈曼-皮尔逊多类分类
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-09-20 DOI: 10.1080/01621459.2024.2402567
Ye Tian, Yang Feng
{"title":"Neyman-Pearson Multi-class Classification via Cost-sensitive Learning","authors":"Ye Tian, Yang Feng","doi":"10.1080/01621459.2024.2402567","DOIUrl":"https://doi.org/10.1080/01621459.2024.2402567","url":null,"abstract":"Most existing classification methods aim to minimize the overall misclassification error rate. However, in applications such as loan default prediction, different types of errors can have varying c...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"106 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142317732","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
An Adaptive Transfer Learning Framework for Functional Classification 功能分类的自适应迁移学习框架
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-09-20 DOI: 10.1080/01621459.2024.2403788
Caihong Qin, Jinhan Xie, Ting Li, Yang Bai
{"title":"An Adaptive Transfer Learning Framework for Functional Classification","authors":"Caihong Qin, Jinhan Xie, Ting Li, Yang Bai","doi":"10.1080/01621459.2024.2403788","DOIUrl":"https://doi.org/10.1080/01621459.2024.2403788","url":null,"abstract":"In this paper, we study the transfer learning problem in functional classification, aiming to improve the classification accuracy of the target data by leveraging information from related source da...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"3 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374037","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 Model-Agnostic Graph Neural Network for Integrating Local and Global Information 用于整合本地和全球信息的模型诊断图神经网络
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-09-20 DOI: 10.1080/01621459.2024.2404668
Wenzhuo Zhou, Annie Qu, Keiland W. Cooper, Norbert Fortin, Babak Shahbaba
{"title":"A Model-Agnostic Graph Neural Network for Integrating Local and Global Information","authors":"Wenzhuo Zhou, Annie Qu, Keiland W. Cooper, Norbert Fortin, Babak Shahbaba","doi":"10.1080/01621459.2024.2404668","DOIUrl":"https://doi.org/10.1080/01621459.2024.2404668","url":null,"abstract":"Graph Neural Networks (GNNs) have achieved promising performance in a variety of graph-focused tasks. Despite their success, however, existing GNNs suffer from two significant limitations: a lack o...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"6 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142384072","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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