{"title":"Statistical Methods in Health Disparity Research.","authors":"Susan M. Paddock","doi":"10.1080/01621459.2024.2344715","DOIUrl":"https://doi.org/10.1080/01621459.2024.2344715","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":"79 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140608125","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}
{"title":"Selection and Aggregation of Conformal Prediction Sets","authors":"Yachong Yang, Arun Kumar Kuchibhotla","doi":"10.1080/01621459.2024.2344700","DOIUrl":"https://doi.org/10.1080/01621459.2024.2344700","url":null,"abstract":"Conformal prediction is a generic methodology for finite-sample valid distribution-free prediction. This technique has garnered a lot of attention in the literature partly because it can be applied...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"22 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140608121","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}
{"title":"Introduction to Environmental Data Science","authors":"Timothée Poisot","doi":"10.1080/01621459.2024.2343459","DOIUrl":"https://doi.org/10.1080/01621459.2024.2343459","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":"35 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603609","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}
Jingyi Jessica Li, Heather J. Zhou, Peter J. Bickel, Xin Tong
{"title":"Dissecting gene expression heterogeneity: generalized Pearson correlation squares and the K-lines clustering algorithm","authors":"Jingyi Jessica Li, Heather J. Zhou, Peter J. Bickel, Xin Tong","doi":"10.1080/01621459.2024.2342639","DOIUrl":"https://doi.org/10.1080/01621459.2024.2342639","url":null,"abstract":"Motivated by the pressing needs for dissecting heterogeneous relationships in gene expression data, here we generalize the squared Pearson correlation to capture a mixture of linear dependences bet...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"54 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140553391","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}
Tengyao Wang, Edgar Dobriban, Milana Gataric, Richard J. Samworth
{"title":"Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning","authors":"Tengyao Wang, Edgar Dobriban, Milana Gataric, Richard J. Samworth","doi":"10.1080/01621459.2024.2340792","DOIUrl":"https://doi.org/10.1080/01621459.2024.2340792","url":null,"abstract":"We propose a new method for high-dimensional semi-supervised learning problems based on the careful aggregation of the results of a low-dimensional procedure applied to many axis-aligned random pro...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"73 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140547958","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}
Lachlan Astfalck, Daniel Williamson, Niall Gandy, Lauren Gregoire, Ruza Ivanovic
{"title":"Coexchangeable process modelling for uncertainty quantification in joint climate reconstruction","authors":"Lachlan Astfalck, Daniel Williamson, Niall Gandy, Lauren Gregoire, Ruza Ivanovic","doi":"10.1080/01621459.2024.2325705","DOIUrl":"https://doi.org/10.1080/01621459.2024.2325705","url":null,"abstract":"Any experiment with climate models relies on a potentially large set of spatio-temporal boundary conditions. These can represent both the initial state of the system and/or forcings driving the mod...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"29 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140544872","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}
{"title":"Sobolev Calibration of Imperfect Computer Models","authors":"Qingwen Zhang, Wenjia Wang","doi":"10.1080/01621459.2024.2340793","DOIUrl":"https://doi.org/10.1080/01621459.2024.2340793","url":null,"abstract":"Calibration refers to the statistical estimation of unknown model parameters in computer experiments, such that computer experiments can match underlying physical systems. This work develops a new ...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"16 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140538775","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}
{"title":"Efficient Nonparametric Estimation of Stochastic Policy Effects with Clustered Interference","authors":"Chanhwa Lee, Donglin Zeng, Michael G. Hudgens","doi":"10.1080/01621459.2024.2340789","DOIUrl":"https://doi.org/10.1080/01621459.2024.2340789","url":null,"abstract":"Interference occurs when a unit’s treatment (or exposure) affects another unit’s outcome. In some settings, units may be grouped into clusters such that it is reasonable to assume that interference...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"81 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140538643","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}
Julia Wrobel, Emily C. Hector, Lorin Crawford, Lucy D’Agostino McGowan, Natalia da Silva, Jeff Goldsmith, Stephanie Hicks, Michael Kane, Youjin Lee, Vinicius Mayrink, Christopher J. Paciorek, Therri Usher, Julian Wolfson
{"title":"Partnering with Authors to Enhance Reproducibility at JASA","authors":"Julia Wrobel, Emily C. Hector, Lorin Crawford, Lucy D’Agostino McGowan, Natalia da Silva, Jeff Goldsmith, Stephanie Hicks, Michael Kane, Youjin Lee, Vinicius Mayrink, Christopher J. Paciorek, Therri Usher, Julian Wolfson","doi":"10.1080/01621459.2024.2340557","DOIUrl":"https://doi.org/10.1080/01621459.2024.2340557","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":"39 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140534415","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}
{"title":"Inferring independent sets of Gaussian variables after thresholding correlations","authors":"Arkajyoti Saha, Daniela Witten, Jacob Bien","doi":"10.1080/01621459.2024.2337158","DOIUrl":"https://doi.org/10.1080/01621459.2024.2337158","url":null,"abstract":"We consider testing whether a set of Gaussian variables, selected from the data, is independent of the remaining variables. This set is selected via a very simple approach: these are the variables ...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"16 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140349300","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}