发布求助
文献互助 智能选刊 最新文献

Journal of the Royal Statistical Society Series B-Statistical Methodology最新文献

筛选
英文 中文
Xiaoyue Niu’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng 牛晓月对Rohe & Zeng“Vintage Factor Analysis with Varimax执行Statistical Inference”讨论的贡献
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-05 DOI: 10.1093/jrsssb/qkad043
Xiaoyue Niu
{"title":"Xiaoyue Niu’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng","authors":"Xiaoyue Niu","doi":"10.1093/jrsssb/qkad043","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad043","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":null,"pages":null},"PeriodicalIF":5.8,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76994770","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
Joshua Cape’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng Joshua Cape对Rohe & Zeng的“Vintage Factor Analysis with variimax perform Statistical Inference”讨论的贡献
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-05 DOI: 10.1093/jrsssb/qkad032
J. Cape
{"title":"Joshua Cape’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng","authors":"J. Cape","doi":"10.1093/jrsssb/qkad032","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad032","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":null,"pages":null},"PeriodicalIF":5.8,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83980831","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
Proposer of the vote of thanks to Rohe & Zeng and contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” 向Rohe & Zeng投感谢票并参与讨论“Vintage Factor Analysis with variimax执行统计推断”
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-04 DOI: 10.1093/jrsssb/qkad030
P. Hoff
{"title":"Proposer of the vote of thanks to Rohe & Zeng and contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference”","authors":"P. Hoff","doi":"10.1093/jrsssb/qkad030","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad030","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":null,"pages":null},"PeriodicalIF":5.8,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73208296","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
Yinqiu He, Yuqi Gu and Zhilian Ying’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng 何银秋、顾玉琪、应之莲对Rohe & Zeng“用方差进行统计推理的复古因子分析”讨论的贡献
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-04 DOI: 10.1093/jrsssb/qkad036
He Yinqiu, Gu Yuqi, Yin Zhiliang
{"title":"Yinqiu He, Yuqi Gu and Zhilian Ying’s contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe & Zeng","authors":"He Yinqiu, Gu Yuqi, Yin Zhiliang","doi":"10.1093/jrsssb/qkad036","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad036","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":null,"pages":null},"PeriodicalIF":5.8,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89321726","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
Discussion: “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe and Zeng 讨论:Rohe和Zeng的“用方差进行统计推断的复古因子分析”
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-04 DOI: 10.1093/jrsssb/qkad040
Yunxiao Chen, Gongjun Xu
{"title":"Discussion: “Vintage Factor Analysis with Varimax Performs Statistical Inference” by Rohe and Zeng","authors":"Yunxiao Chen, Gongjun Xu","doi":"10.1093/jrsssb/qkad040","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad040","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":null,"pages":null},"PeriodicalIF":5.8,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82167009","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
Christine P Chai's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng Christine P Chai对Rohe &amp讨论“Vintage Factor Analysis with variimax perform Statistical Inference”的贡献;曾
1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-04 DOI: 10.1093/jrsssb/qkad039
Christine P Chai
{"title":"Christine P Chai's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng","authors":"Christine P Chai","doi":"10.1093/jrsssb/qkad039","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad039","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136148336","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
Comments on the paper “Vintage Factor Analysis with varimax Performs Statistical Inference” by Karl Rohe and Muzhe Zeng 对卡尔·罗、曾慕哲《用方差进行统计推断的复古因子分析》一文的评析
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-03 DOI: 10.1093/jrsssb/qkad041
K. Kumar
{"title":"Comments on the paper “Vintage Factor Analysis with varimax Performs Statistical Inference” by Karl Rohe and Muzhe Zeng","authors":"K. Kumar","doi":"10.1093/jrsssb/qkad041","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad041","url":null,"abstract":"","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":null,"pages":null},"PeriodicalIF":5.8,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87297524","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
Estimating the Efficiency Gain of Covariate-Adjusted Analyses in Future Clinical Trials Using External Data. 利用外部数据估计协变量调整分析在未来临床试验中的效率增益。
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-01 DOI: 10.1093/jrsssb/qkad007
Xiudi Li, Sijia Li, Alex Luedtke
{"title":"Estimating the Efficiency Gain of Covariate-Adjusted Analyses in Future Clinical Trials Using External Data.","authors":"Xiudi Li,&nbsp;Sijia Li,&nbsp;Alex Luedtke","doi":"10.1093/jrsssb/qkad007","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad007","url":null,"abstract":"<p><p>We present a framework for using existing external data to identify and estimate the relative efficiency of a covariate-adjusted estimator compared to an unadjusted estimator in a future randomized trial. Under conditions, these relative efficiencies approximate the ratio of sample sizes needed to achieve a desired power. We develop semiparametrically efficient estimators of the relative efficiencies for several treatment effect estimands of interest with either fully or partially observed outcomes, allowing for the application of flexible statistical learning tools to estimate the nuisance functions. We propose an analytic Wald-type confidence interval and a double bootstrap scheme for statistical inference. We demonstrate the performance of the proposed methods through simulation studies and apply these methods to estimate the efficiency gain of covariate adjustment in Covid-19 therapeutic trials.</p>","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":null,"pages":null},"PeriodicalIF":5.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433828/pdf/nihms-1923273.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10498203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Monotone response surface of multi-factor condition: estimation and Bayes classifiers. 多因素条件的单调响应面：估计和贝叶斯分类器。
IF 5.8 1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-04-01 Epub Date: 2023-03-22 DOI: 10.1093/jrsssb/qkad014
Ying Kuen Cheung, Keith M Diaz
{"title":"Monotone response surface of multi-factor condition: estimation and Bayes classifiers.","authors":"Ying Kuen Cheung, Keith M Diaz","doi":"10.1093/jrsssb/qkad014","DOIUrl":"10.1093/jrsssb/qkad014","url":null,"abstract":"<p><p>We formulate the estimation of monotone response surface of multiple factors as the inverse of an iteration of partially ordered classifier ensembles. Each ensemble (called PIPE-classifiers) is a projection of Bayes classifiers on the constrained space. We prove the inverse of PIPE-classifiers (iPIPE) exists, and propose algorithms to efficiently compute iPIPE by reducing the space over which optimisation is conducted. The methods are applied in analysis and simulation settings where the surface dimension is higher than what the isotonic regression literature typically considers. Simulation shows iPIPE-based credible intervals achieve nominal coverage probability and are more precise compared to unconstrained estimation.</p>","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":null,"pages":null},"PeriodicalIF":5.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10919322/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75007570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Model identification via total Frobenius norm of multivariate spectra 多元光谱的总Frobenius范数模型辨识
1区 数学
Journal of the Royal Statistical Society Series B-Statistical Methodology Pub Date : 2023-03-31 DOI: 10.1093/jrsssb/qkad012
Tucker S McElroy, Anindya Roy
{"title":"Model identification via total Frobenius norm of multivariate spectra","authors":"Tucker S McElroy, Anindya Roy","doi":"10.1093/jrsssb/qkad012","DOIUrl":"https://doi.org/10.1093/jrsssb/qkad012","url":null,"abstract":"Abstract We study the integral of the Frobenius norm as a measure of the discrepancy between two multivariate spectra. Such a measure can be used to fit time series models, and ensures proximity between model and process at all frequencies of the spectral density. We develop new asymptotic results for linear and quadratic functionals of the periodogram, and apply the integrated Frobenius norm to fit time series models and test whether model residuals are white noise. The case of structural time series models is addressed, wherein co-integration rank testing is formally developed. Both applications are studied through simulation studies and time series data. The numerical results show that the proposed estimator can fit moderate- to large-dimensional structural timeseries in real time.","PeriodicalId":49982,"journal":{"name":"Journal of the Royal Statistical Society Series B-Statistical Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135788016","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信