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Heterogeneity Analysis on Multi-state Brain Functional Connectivity and Adolescent Neurocognition 多状态大脑功能连接性与青少年神经认知的异质性分析
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-02-01 DOI: 10.1080/01621459.2024.2311363
Shiying Wang, Todd Constable, Heping Zhang, Yize Zhao
{"title":"Heterogeneity Analysis on Multi-state Brain Functional Connectivity and Adolescent Neurocognition","authors":"Shiying Wang, Todd Constable, Heping Zhang, Yize Zhao","doi":"10.1080/01621459.2024.2311363","DOIUrl":"https://doi.org/10.1080/01621459.2024.2311363","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139685087","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 Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series 用于高维时间序列的可解释高效无穷阶向量自回归模型
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-01-31 DOI: 10.1080/01621459.2024.2311365
Yao Zheng
{"title":"An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series","authors":"Yao Zheng","doi":"10.1080/01621459.2024.2311365","DOIUrl":"https://doi.org/10.1080/01621459.2024.2311365","url":null,"abstract":"As a special infinite-order vector autoregressive (VAR) model, the vector autoregressive moving average (VARMA) model can capture much richer temporal patterns than the widely used finite-order VAR...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139720513","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
Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making 用于多维在线决策的随机低等级张量匪帮
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-01-30 DOI: 10.1080/01621459.2024.2311364
Jie Zhou, Botao Hao, Zheng Wen, Jingfei Zhang, Will Wei Sun
{"title":"Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making","authors":"Jie Zhou, Botao Hao, Zheng Wen, Jingfei Zhang, Will Wei Sun","doi":"10.1080/01621459.2024.2311364","DOIUrl":"https://doi.org/10.1080/01621459.2024.2311364","url":null,"abstract":"Multi-dimensional online decision making plays a crucial role in many real applications such as online recommendation and digital marketing. In these problems, a decision at each time is a combinat...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139715300","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
Consistent community detection in inter-layer dependent multi-layer networks 层间相关多层网络中的一致群落检测
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-01-26 DOI: 10.1080/01621459.2024.2308848
Jingnan Zhang, Junhui Wang, Xueqin Wang
{"title":"Consistent community detection in inter-layer dependent multi-layer networks","authors":"Jingnan Zhang, Junhui Wang, Xueqin Wang","doi":"10.1080/01621459.2024.2308848","DOIUrl":"https://doi.org/10.1080/01621459.2024.2308848","url":null,"abstract":"Community detection in multi-layer networks, which aims at finding groups of nodes with similar connective patterns among all layers, has attracted tremendous interests in multi-layer network analy...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139568408","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
Markov bases: a 25 year update 马尔可夫基：25 年更新
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-01-26 DOI: 10.1080/01621459.2024.2310181
Félix Almendra-Hernández, Jesús A. DeLoera, Sonja Petrović
{"title":"Markov bases: a 25 year update","authors":"Félix Almendra-Hernández, Jesús A. DeLoera, Sonja Petrović","doi":"10.1080/01621459.2024.2310181","DOIUrl":"https://doi.org/10.1080/01621459.2024.2310181","url":null,"abstract":"In this paper, we evaluate the challenges and best practices associated with the Markov bases approach to sampling from conditional distributions. We provide insights and clarifications after 25 ye...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139701021","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
Model-Free Statistical Inference on High-Dimensional Data* 高维数据的无模型统计推断*
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-01-26 DOI: 10.1080/01621459.2024.2310314
Xu Guo, Runze Li, Zhe Zhang, Changliang Zou
{"title":"Model-Free Statistical Inference on High-Dimensional Data*","authors":"Xu Guo, Runze Li, Zhe Zhang, Changliang Zou","doi":"10.1080/01621459.2024.2310314","DOIUrl":"https://doi.org/10.1080/01621459.2024.2310314","url":null,"abstract":"This paper aims to develop an effective model-free inference procedure for high-dimensional data. We first reformulate the hypothesis testing problem via sufficient dimension reduction framework. W...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139568407","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
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis. 使用 R/SAS 进行结构方程建模：使用真实数据分析的逐步方法》（Structural Equation Modeling Using R/SAS：A Step-by-Step Approach with Real Data Analysis）。
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-01-24 DOI: 10.1080/01621459.2024.2309339
Lifeng Lin
{"title":"Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis.","authors":"Lifeng Lin","doi":"10.1080/01621459.2024.2309339","DOIUrl":"https://doi.org/10.1080/01621459.2024.2309339","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":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139565789","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
Mathematical Foundations of Infinite-Dimensional Statistical Models. 无穷维统计模型的数学基础》。
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-01-24 DOI: 10.1080/01621459.2024.2308799
Bodhisattva Sen
{"title":"Mathematical Foundations of Infinite-Dimensional Statistical Models.","authors":"Bodhisattva Sen","doi":"10.1080/01621459.2024.2308799","DOIUrl":"https://doi.org/10.1080/01621459.2024.2308799","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":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139565806","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
Semiparametric Bayesian inference for local extrema of functions in the presence of noise 存在噪声时函数局部极值的半参数贝叶斯推理
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-01-23 DOI: 10.1080/01621459.2024.2308333
Meng Li, Zejian Liu, Cheng-Han Yu, Marina Vannucci
{"title":"Semiparametric Bayesian inference for local extrema of functions in the presence of noise","authors":"Meng Li, Zejian Liu, Cheng-Han Yu, Marina Vannucci","doi":"10.1080/01621459.2024.2308333","DOIUrl":"https://doi.org/10.1080/01621459.2024.2308333","url":null,"abstract":"There is a wide range of applications where the local extrema of a function are the key quantity of interest. However, there is surprisingly little work on methods to infer local extrema with uncer...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139565783","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
Operator-induced structural variable selection for identifying materials genes 操作员诱导的结构变量选择，用于识别材料基因
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-01-23 DOI: 10.1080/01621459.2023.2294527
Shengbin Ye, Thomas P. Senftle, Meng Li
{"title":"Operator-induced structural variable selection for identifying materials genes","authors":"Shengbin Ye, Thomas P. Senftle, Meng Li","doi":"10.1080/01621459.2023.2294527","DOIUrl":"https://doi.org/10.1080/01621459.2023.2294527","url":null,"abstract":"In the emerging field of materials informatics, a fundamental task is to identify physicochemically meaningful descriptors, or materials genes, which are engineered from primary features and a set ...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139565790","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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