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Mediation analysis with the mediator and outcome missing not at random 调解人和结果非随机缺失的调解分析
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-28 DOI: 10.1080/01621459.2024.2359132
Shuozhi Zuo, Debashis Ghosh, Peng Ding, Fan Yang
{"title":"Mediation analysis with the mediator and outcome missing not at random","authors":"Shuozhi Zuo, Debashis Ghosh, Peng Ding, Fan Yang","doi":"10.1080/01621459.2024.2359132","DOIUrl":"https://doi.org/10.1080/01621459.2024.2359132","url":null,"abstract":"Mediation analysis is widely used for investigating direct and indirect causal pathways through which an effect arises. However, many mediation analysis studies are challenged by missingness in the...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319976","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
Distributed Heterogeneity Learning for Generalized Partially Linear Models with Spatially Varying Coefficients 1 具有空间变化系数的广义部分线性模型的分布式异质性学习 1
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-24 DOI: 10.1080/01621459.2024.2359131
Shan Yu, Guannan Wang, Li Wang
{"title":"Distributed Heterogeneity Learning for Generalized Partially Linear Models with Spatially Varying Coefficients\u0000 1","authors":"Shan Yu, Guannan Wang, Li Wang","doi":"10.1080/01621459.2024.2359131","DOIUrl":"https://doi.org/10.1080/01621459.2024.2359131","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099321","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
Population-level Balance in Signed Networks 签名网络中人口层面的平衡
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-21 DOI: 10.1080/01621459.2024.2356894
Weijing Tang, Ji Zhu
{"title":"Population-level Balance in Signed Networks","authors":"Weijing Tang, Ji Zhu","doi":"10.1080/01621459.2024.2356894","DOIUrl":"https://doi.org/10.1080/01621459.2024.2356894","url":null,"abstract":"Statistical network models are useful for understanding the underlying formation mechanism and characteristics of complex networks. However, statistical models for signed networks have been largely...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304493","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
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features 具有高维特征的双稳健增强模型精度转移推理
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-21 DOI: 10.1080/01621459.2024.2356291
Doudou Zhou, Molei Liu, Mengyan Li, Tianxi Cai
{"title":"Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features","authors":"Doudou Zhou, Molei Liu, Mengyan Li, Tianxi Cai","doi":"10.1080/01621459.2024.2356291","DOIUrl":"https://doi.org/10.1080/01621459.2024.2356291","url":null,"abstract":"Transfer learning is crucial for training models that generalize to unlabeled target populations using labeled source data, especially in real-world studies where label scarcity and covariate shift...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319851","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
Joint tensor modeling of single cell 3D genome and epigenetic data with Muscle 利用 Muscle 对单细胞三维基因组和表观遗传数据进行联合张量建模
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-21 DOI: 10.1080/01621459.2024.2358557
Kwangmoon Park, Sündüz Keleş
{"title":"Joint tensor modeling of single cell 3D genome and epigenetic data with Muscle","authors":"Kwangmoon Park, Sündüz Keleş","doi":"10.1080/01621459.2024.2358557","DOIUrl":"https://doi.org/10.1080/01621459.2024.2358557","url":null,"abstract":"Emerging single cell technologies that simultaneously capture long-range interactions of genomic loci together with their DNA methylation levels are advancing our understanding of three-dimensional...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304495","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
Neural networks for geospatial data 用于地理空间数据的神经网络
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-20 DOI: 10.1080/01621459.2024.2356293
Wentao Zhan, Abhirup Datta
{"title":"Neural networks for geospatial data","authors":"Wentao Zhan, Abhirup Datta","doi":"10.1080/01621459.2024.2356293","DOIUrl":"https://doi.org/10.1080/01621459.2024.2356293","url":null,"abstract":"Abstract–Analysis of geospatial data has traditionally been model-based, with a mean model, customarily specified as a linear regression on the covariates, and a Gaussian process covariance model, ...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304494","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
Rational Kriging 理性克里金法
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-20 DOI: 10.1080/01621459.2024.2356296
V. Roshan Joseph
{"title":"Rational Kriging","authors":"V. Roshan Joseph","doi":"10.1080/01621459.2024.2356296","DOIUrl":"https://doi.org/10.1080/01621459.2024.2356296","url":null,"abstract":"This article proposes a new kriging that has a rational form. It is shown that the generalized least squares estimator of the mean from rational kriging is much more well behaved than that of ordin...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141308977","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
Distribution-Free Prediction Intervals Under Covariate Shift, With an Application to Causal Inference 变量偏移下的无分布预测区间，在因果推理中的应用
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-20 DOI: 10.1080/01621459.2024.2356886
Jing Qin, Yukun Liu, Moming Li, Chiung-Yu Huang
{"title":"Distribution-Free Prediction Intervals Under Covariate Shift, With an Application to Causal Inference","authors":"Jing Qin, Yukun Liu, Moming Li, Chiung-Yu Huang","doi":"10.1080/01621459.2024.2356886","DOIUrl":"https://doi.org/10.1080/01621459.2024.2356886","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141120067","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
Tests for large-dimensional shape matrices via Tyler’s M estimators 通过泰勒 M 估计数测试大维度形状矩阵
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-05-03 DOI: 10.1080/01621459.2024.2350573
Runze Li, Weiming Li, Qinwen Wang
{"title":"Tests for large-dimensional shape matrices via Tyler’s M estimators","authors":"Runze Li, Weiming Li, Qinwen Wang","doi":"10.1080/01621459.2024.2350573","DOIUrl":"https://doi.org/10.1080/01621459.2024.2350573","url":null,"abstract":"Tyler’s M estimator, as a robust alternative to the sample covariance matrix, has been widely applied in robust statistics. However, classical theory on Tyler’s M estimator is mainly developed in t...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140845366","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
Controlled Discovery and Localization of Signals via Bayesian Linear Programming 通过贝叶斯线性规划控制信号的发现和定位
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-04-26 DOI: 10.1080/01621459.2024.2347667
Asher Spector, Lucas Janson
{"title":"Controlled Discovery and Localization of Signals via Bayesian Linear Programming","authors":"Asher Spector, Lucas Janson","doi":"10.1080/01621459.2024.2347667","DOIUrl":"https://doi.org/10.1080/01621459.2024.2347667","url":null,"abstract":"Scientists often must simultaneously localize and discover signals. For instance, in genetic fine-mapping, high correlations between nearby genetic variants make it hard to identify the exact locat...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140648953","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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