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Introduction to Statistical Modelling and Inference 统计建模与推理入门
IF 1.8 4区 数学
American Statistician Pub Date : 2024-04-17 DOI: 10.1080/00031305.2024.2326662
Nianpin Cheng, Beth Chance
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引用次数: 0
Boldness-Recalibration for Binary Event Predictions 二进制事件预测的魄力-再校准
IF 1.8 4区 数学
American Statistician Pub Date : 2024-04-04 DOI: 10.1080/00031305.2024.2339266
Adeline P. Guthrie, Christopher T. Franck
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引用次数: 0
Tractable Bayesian inference for an unidentified simple linear regression model 不明简单线性回归模型的贝叶斯推断方法
IF 1.8 4区 数学
American Statistician Pub Date : 2024-03-26 DOI: 10.1080/00031305.2024.2333864
Robert Calvert Jump
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引用次数: 0
Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation 平方多重相关性的非负调整估计量的矩
IF 1.8 4区 数学
American Statistician Pub Date : 2024-03-18 DOI: 10.1080/00031305.2024.2332764
Joseph F. Lucke
{"title":"Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation","authors":"Joseph F. Lucke","doi":"10.1080/00031305.2024.2332764","DOIUrl":"https://doi.org/10.1080/00031305.2024.2332764","url":null,"abstract":"I present the moments of the nonnegative adjusted estimator of the squared multiple correlation ρ2, the coefficient of determination for random-predictor regression. This estimator, first proposed...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"8 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140192675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities 具有互联群落的高通量生物医学数据的协方差矩阵估计
IF 1.8 4区 数学
American Statistician Pub Date : 2024-03-11 DOI: 10.1080/00031305.2024.2329681
Yifan Yang, Chixiang Chen, Shuo Chen
{"title":"Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities","authors":"Yifan Yang, Chixiang Chen, Shuo Chen","doi":"10.1080/00031305.2024.2329681","DOIUrl":"https://doi.org/10.1080/00031305.2024.2329681","url":null,"abstract":"Estimating a covariance matrix is central to high-dimensional data analysis. Empirical analyses of high-dimensional biomedical data, including genomics, proteomics, microbiome, and neuroimaging, am...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"20 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140114429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement 厚数据分析（TDA）：算法改进的迭代和归纳框架
IF 1.8 4区 数学
American Statistician Pub Date : 2024-03-11 DOI: 10.1080/00031305.2024.2327535
Minh Nguyen, Tiffany Eulalio, Ben Marafino, Christian Rose, Jonathan H. Chen, Michael Baiocchi
{"title":"Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement","authors":"Minh Nguyen, Tiffany Eulalio, Ben Marafino, Christian Rose, Jonathan H. Chen, Michael Baiocchi","doi":"10.1080/00031305.2024.2327535","DOIUrl":"https://doi.org/10.1080/00031305.2024.2327535","url":null,"abstract":"A gap remains between developing risk prediction models and deploying models to support real-world decision making, especially in high-stakes situations. Human-experts’ reasoning abilities remain c...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"21 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140188718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
On the term “randomization test” 关于 "随机化检验 "一词
IF 1.8 4区 数学
American Statistician Pub Date : 2024-02-21 DOI: 10.1080/00031305.2024.2319182
Jesse Hemerik
{"title":"On the term “randomization test”","authors":"Jesse Hemerik","doi":"10.1080/00031305.2024.2319182","DOIUrl":"https://doi.org/10.1080/00031305.2024.2319182","url":null,"abstract":"There is no consensus on the meaning of the term “randomization test”. Contradictory uses of the term are leading to confusion, misunderstandings and indeed invalid data analyses. A main source of ...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"16 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139976693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Fitting log-Gaussian Cox processes using generalized additive model software 使用广义加法模型软件拟合对数高斯考克斯过程
IF 1.8 4区 数学
American Statistician Pub Date : 2024-02-08 DOI: 10.1080/00031305.2024.2316725
Elliot Dovers, Jakub Stoklosa, David I. Warton
{"title":"Fitting log-Gaussian Cox processes using generalized additive model software","authors":"Elliot Dovers, Jakub Stoklosa, David I. Warton","doi":"10.1080/00031305.2024.2316725","DOIUrl":"https://doi.org/10.1080/00031305.2024.2316725","url":null,"abstract":"While log-Gaussian Cox process regression models are useful tools for modeling point patterns, they can be technically difficult to fit and require users to learn/adopt bespoke software. We show th...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"295 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139739435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations 纵向数据的应用线性回归：重视缺失观察值
IF 1.8 4区 数学
American Statistician Pub Date : 2024-02-05 DOI: 10.1080/00031305.2024.2302792
Maria Francesca Marino
{"title":"Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations","authors":"Maria Francesca Marino","doi":"10.1080/00031305.2024.2302792","DOIUrl":"https://doi.org/10.1080/00031305.2024.2302792","url":null,"abstract":"Published in The American Statistician (Vol. 78, No. 1, 2024)","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"15 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139720356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation 用于约束和正则化估计的贝叶斯推理的近端 MCMC
IF 1.8 4区 数学
American Statistician Pub Date : 2024-01-23 DOI: 10.1080/00031305.2024.2308821
Xinkai Zhou, Qiang Heng, Eric C. Chi, Hua Zhou
{"title":"Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation","authors":"Xinkai Zhou, Qiang Heng, Eric C. Chi, Hua Zhou","doi":"10.1080/00031305.2024.2308821","DOIUrl":"https://doi.org/10.1080/00031305.2024.2308821","url":null,"abstract":"This paper advocates proximal Markov Chain Monte Carlo (ProxMCMC) as a flexible and general Bayesian inference framework for constrained or regularized estimation. Originally introduced in the Baye...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"154 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139544089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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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