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ROC Analysis for Classification and Prediction in Practice 实际分类和预测的 ROC 分析
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-11-06 DOI: 10.1080/01621459.2024.2423434
Mauricio Tec
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引用次数: 0
ℓ1 -based Bayesian Ideal Point Model for Multidimensional Politics 基于 ℓ1 的多维政治贝叶斯理想点模型
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-11-06 DOI: 10.1080/01621459.2024.2425461
Sooahn Shin, Johan Lim, Jong Hee Park
{"title":"ℓ1 -based Bayesian Ideal Point Model for Multidimensional Politics","authors":"Sooahn Shin, Johan Lim, Jong Hee Park","doi":"10.1080/01621459.2024.2425461","DOIUrl":"https://doi.org/10.1080/01621459.2024.2425461","url":null,"abstract":"Ideal point estimation methods in the social sciences lack a principled approach for identifying multidimensional ideal points. We present a novel method for estimating multidimensional ideal point...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"35 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589037","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
Local signal detection on irregular domains with generalized varying coefficient models 利用广义变化系数模型在不规则域上进行局部信号检测
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-11-05 DOI: 10.1080/01621459.2024.2423972
Chengzhu Zhang, Lan Xue, Yu Chen, Heng Lian, Annie Qu
{"title":"Local signal detection on irregular domains with generalized varying coefficient models","authors":"Chengzhu Zhang, Lan Xue, Yu Chen, Heng Lian, Annie Qu","doi":"10.1080/01621459.2024.2423972","DOIUrl":"https://doi.org/10.1080/01621459.2024.2423972","url":null,"abstract":"In spatial analysis, it is essential to understand and quantify spatial or temporal heterogeneity. This paper focuses on the generalized spatially varying coefficient model (GSVCM), a powerful fram...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"28 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589039","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
Probability Modeling and Statistical Inference in Cancer Screening 癌症筛查中的概率建模和统计推断
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-11-04 DOI: 10.1080/01621459.2024.2425460
Li C. Cheung
{"title":"Probability Modeling and Statistical Inference in Cancer Screening","authors":"Li C. Cheung","doi":"10.1080/01621459.2024.2425460","DOIUrl":"https://doi.org/10.1080/01621459.2024.2425460","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":"18 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589038","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
Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies 在全基因组研究中使用条件对称多维高斯混合物检验大量复合零假设
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-11-04 DOI: 10.1080/01621459.2024.2422124
Ryan Sun, Zachary R. McCaw, Xihong Lin
{"title":"Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies","authors":"Ryan Sun, Zachary R. McCaw, Xihong Lin","doi":"10.1080/01621459.2024.2422124","DOIUrl":"https://doi.org/10.1080/01621459.2024.2422124","url":null,"abstract":"Causal mediation, pleiotropy, and replication analyses are three highly popular genetic study designs. Although these analyses address different scientific questions, the underlying statistical inf...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"36 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589058","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
Coefficient Shape Alignment in Multiple Functional Regression 多元函数回归中的系数形状排列
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-11-04 DOI: 10.1080/01621459.2024.2422115
Shuhao Jiao, Ngai-Hang Chan
{"title":"Coefficient Shape Alignment in Multiple Functional Regression","authors":"Shuhao Jiao, Ngai-Hang Chan","doi":"10.1080/01621459.2024.2422115","DOIUrl":"https://doi.org/10.1080/01621459.2024.2422115","url":null,"abstract":"In multivariate functional data analysis, different functional covariates often exhibit homogeneity. The covariates with pronounced homogeneity can be analyzed jointly within the same group, offeri...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"68 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589060","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
A Physics-Informed, Deep Double Reservoir Network for Forecasting Boundary Layer Velocity 用于预测边界层速度的物理信息深层双水库网络
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-11-04 DOI: 10.1080/01621459.2024.2422131
Matthew Bonas, David H. Richter, Stefano Castruccio
{"title":"A Physics-Informed, Deep Double Reservoir Network for Forecasting Boundary Layer Velocity","authors":"Matthew Bonas, David H. Richter, Stefano Castruccio","doi":"10.1080/01621459.2024.2422131","DOIUrl":"https://doi.org/10.1080/01621459.2024.2422131","url":null,"abstract":"When a fluid flows over a solid surface, it creates a thin boundary layer where the flow velocity is influenced by the surface through viscosity, and can transition from laminar to turbulent at suf...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"137 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589061","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
Space-time extremes of severe US thunderstorm environments 美国严重雷暴环境的时空极值
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-11-04 DOI: 10.1080/01621459.2024.2421582
Jonathan Koh, Erwan Koch, Anthony C. Davison
{"title":"Space-time extremes of severe US thunderstorm environments","authors":"Jonathan Koh, Erwan Koch, Anthony C. Davison","doi":"10.1080/01621459.2024.2421582","DOIUrl":"https://doi.org/10.1080/01621459.2024.2421582","url":null,"abstract":"Severe thunderstorms cause substantial economic and human losses in the United States. Simultaneous high values of convective available potential energy (CAPE) and storm relative helicity (SRH) are...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"243 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589059","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
Partial Quantile Tensor Regression 部分张量回归
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-11-04 DOI: 10.1080/01621459.2024.2422129
Dayu Sun, Limin Peng, Zhiping Qiu, Ying Guo, Amita Manatunga
{"title":"Partial Quantile Tensor Regression","authors":"Dayu Sun, Limin Peng, Zhiping Qiu, Ying Guo, Amita Manatunga","doi":"10.1080/01621459.2024.2422129","DOIUrl":"https://doi.org/10.1080/01621459.2024.2422129","url":null,"abstract":"Tensors, characterized as multidimensional arrays, are frequently encountered in modern scientific studies. Quantile regression has the unique capacity to explore how a tensor covariate influences ...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"90 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589057","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
Functional Data Analysis with R. 用 R 进行功能数据分析
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-11-04 DOI: 10.1080/01621459.2024.2425462
Piotr S. Kokoszka
{"title":"Functional Data Analysis with R.","authors":"Piotr S. Kokoszka","doi":"10.1080/01621459.2024.2425462","DOIUrl":"https://doi.org/10.1080/01621459.2024.2425462","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":"12 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589036","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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