Federated learning (FL) is an emerging topic due to its advantage in collaborative learning with distributed data. Due to the heterogeneity in the local data-generating mechanism, it is important t...
{"title":"Robust Personalized Federated Learning with Sparse Penalization*","authors":"Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang","doi":"10.1080/01621459.2024.2321652","DOIUrl":"https://doi.org/10.1080/01621459.2024.2321652","url":null,"abstract":"Federated learning (FL) is an emerging topic due to its advantage in collaborative learning with distributed data. Due to the heterogeneity in the local data-generating mechanism, it is important t...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139938873","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 : 2024-02-21DOI: 10.1080/01621459.2024.2321653
Seong-ho Lee, Yanyuan Ma, Jiwei Zhao
In studies ranging from clinical medicine to policy research, complete data are usually available from a population P , but the quantity of interest is often sought for a related but different popu...
在从临床医学到政策研究的各种研究中，通常可以从一个人群 P 中获得完整的数据，但往往需要从相关但不同的人群中寻找感兴趣的数量。
{"title":"Doubly Flexible Estimation under Label Shift","authors":"Seong-ho Lee, Yanyuan Ma, Jiwei Zhao","doi":"10.1080/01621459.2024.2321653","DOIUrl":"https://doi.org/10.1080/01621459.2024.2321653","url":null,"abstract":"In studies ranging from clinical medicine to policy research, complete data are usually available from a population P , but the quantity of interest is often sought for a related but different popu...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139938865","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 : 2024-02-15DOI: 10.1080/01621459.2024.2319897
Qingqing Zhai, Zhisheng Ye, Cheng Li, Matthew Revie, David B. Dunson
Many lifeline infrastructure systems consist of thousands of components configured in a complex directed network. Disruption of the infrastructure constitutes a recurrent failure process over a dir...
{"title":"Modeling Recurrent Failures on Large Directed Networks","authors":"Qingqing Zhai, Zhisheng Ye, Cheng Li, Matthew Revie, David B. Dunson","doi":"10.1080/01621459.2024.2319897","DOIUrl":"https://doi.org/10.1080/01621459.2024.2319897","url":null,"abstract":"Many lifeline infrastructure systems consist of thousands of components configured in a complex directed network. Disruption of the infrastructure constitutes a recurrent failure process over a dir...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139739409","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 : 2024-02-13DOI: 10.1080/01621459.2024.2315667
Yuqi Tian, Chun Li, Shengxin Tu, Nathan T. James, Frank E. Harrell, Bryan E. Shepherd
Detection limits (DLs), where a variable cannot be measured outside of a certain range, are common in research. DLs may vary across study sites or over time. Most approaches to handling DLs in resp...
{"title":"Addressing Multiple Detection Limits with Semiparametric Cumulative Probability Models","authors":"Yuqi Tian, Chun Li, Shengxin Tu, Nathan T. James, Frank E. Harrell, Bryan E. Shepherd","doi":"10.1080/01621459.2024.2315667","DOIUrl":"https://doi.org/10.1080/01621459.2024.2315667","url":null,"abstract":"Detection limits (DLs), where a variable cannot be measured outside of a certain range, are common in research. DLs may vary across study sites or over time. Most approaches to handling DLs in resp...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139739489","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}
Motivated by many applications such as online recommendations and individual choices, this paper considers ranking inference of n items based on the observed data on the top choice among M randomly...
受在线推荐和个人选择等许多应用的启发，本文考虑了基于 M 个随机选项中的首选项的观测数据，对 n 个项目进行排序推断。
{"title":"Ranking Inferences Based on the Top Choice of Multiway Comparisons","authors":"Jianqing Fan, Zhipeng Lou, Weichen Wang, Mengxin Yu","doi":"10.1080/01621459.2024.2316364","DOIUrl":"https://doi.org/10.1080/01621459.2024.2316364","url":null,"abstract":"Motivated by many applications such as online recommendations and individual choices, this paper considers ranking inference of n items based on the observed data on the top choice among M randomly...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139728150","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 : 2024-02-07DOI: 10.1080/01621459.2024.2314318
Amichai Painsky
Consider a finite sample from an unknown distribution over a countable alphabet. Unobserved events are alphabet symbols which do not appear in the sample. Estimating the probabilities of unobserved...
{"title":"Confidence Intervals for Parameters of Unobserved Events","authors":"Amichai Painsky","doi":"10.1080/01621459.2024.2314318","DOIUrl":"https://doi.org/10.1080/01621459.2024.2314318","url":null,"abstract":"Consider a finite sample from an unknown distribution over a countable alphabet. Unobserved events are alphabet symbols which do not appear in the sample. Estimating the probabilities of unobserved...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139701019","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 : 2024-02-06DOI: 10.1080/01621459.2024.2314316
Ting Li, Chengchun Shi, Zhaohua Lu, Yi Li, Hongtu Zhu
Many modern tech companies, such as Google, Uber, and Didi, utilize online experiments (also known as A/B testing) to evaluate new policies against existing ones. While most studies concentrate on ...
{"title":"Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing","authors":"Ting Li, Chengchun Shi, Zhaohua Lu, Yi Li, Hongtu Zhu","doi":"10.1080/01621459.2024.2314316","DOIUrl":"https://doi.org/10.1080/01621459.2024.2314316","url":null,"abstract":"Many modern tech companies, such as Google, Uber, and Didi, utilize online experiments (also known as A/B testing) to evaluate new policies against existing ones. While most studies concentrate on ...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139701013","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 : 2024-02-05DOI: 10.1080/01621459.2024.2314719
Somabha Mukherjee
Published in Journal of the American Statistical Association (Just accepted, 2024)
发表于《美国统计协会期刊》（刚刚接受，2024 年）
{"title":"Theory of Statistical Inference.","authors":"Somabha Mukherjee","doi":"10.1080/01621459.2024.2314719","DOIUrl":"https://doi.org/10.1080/01621459.2024.2314719","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":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139688422","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 : 2024-02-05DOI: 10.1080/01621459.2024.2313790
Stéphane Guerrier, Christoph Kuzmics, Maria-Pia Victoria-Feser
Countries officially record the number of COVID-19 cases based on medical tests of a subset of the population. These case count data obviously suffer from participation bias, and for prevalence est...
{"title":"Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information","authors":"Stéphane Guerrier, Christoph Kuzmics, Maria-Pia Victoria-Feser","doi":"10.1080/01621459.2024.2313790","DOIUrl":"https://doi.org/10.1080/01621459.2024.2313790","url":null,"abstract":"Countries officially record the number of COVID-19 cases based on medical tests of a subset of the population. These case count data obviously suffer from participation bias, and for prevalence est...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139688432","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}
Evidence-based or data-driven dynamic treatment regimes are essential for personalized medicine, which can benefit from offline reinforcement learning (RL). Although massive healthcare data are ava...
{"title":"Federated Offline Reinforcement Learning","authors":"Doudou Zhou, Yufeng Zhang, Aaron Sonabend-W, Zhaoran Wang, Junwei Lu, Tianxi Cai","doi":"10.1080/01621459.2024.2310287","DOIUrl":"https://doi.org/10.1080/01621459.2024.2310287","url":null,"abstract":"Evidence-based or data-driven dynamic treatment regimes are essential for personalized medicine, which can benefit from offline reinforcement learning (RL). Although massive healthcare data are ava...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139701033","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}
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