Journal of the Royal Statistical Society Series A-Statistics in Society最新文献

筛选
英文 中文
A celebration of 50 years of the Cox model in memory of Sir David Cox 为纪念大卫·考克斯爵士,庆祝考克斯模型诞生50周年
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-07 DOI: 10.1093/jrsssa/qnad087
A. .. Lawrance
{"title":"A celebration of 50 years of the Cox model in memory of Sir David Cox","authors":"A. .. Lawrance","doi":"10.1093/jrsssa/qnad087","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad087","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75895971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Paul Allin’s contribution to the Discussion of “ A system of population estimates compiled from administrative data only “ by John Dunne and Li-Chun Zhang 保罗·阿林对约翰·邓恩和张立春讨论“仅从行政数据编制的人口估计系统”的贡献
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-04 DOI: 10.1093/jrsssa/qnad102
P. Allin
{"title":"Paul Allin’s contribution to the Discussion of “ A system of population estimates compiled from administrative data only “ by John Dunne and Li-Chun Zhang","authors":"P. Allin","doi":"10.1093/jrsssa/qnad102","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad102","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85072337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 non-parametric panel model for climate data with seasonal and spatial variation 具有季节和空间变化的气候数据的非参数面板模型
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-03 DOI: 10.1093/jrsssa/qnad086
Jiti Gao, O. Linton, B. Peng
{"title":"A non-parametric panel model for climate data with seasonal and spatial variation","authors":"Jiti Gao, O. Linton, B. Peng","doi":"10.1093/jrsssa/qnad086","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad086","url":null,"abstract":"\u0000 We consider a panel data model that allows for heterogeneous time trends at different locations. The model is well suited to identifying trends in climate data recorded at multiple stations. We propose a new estimation method for the model and derive an asymptotic theory for the proposed estimation method. For inferential purposes, we develop a bootstrap method for the case where weak correlation presents in both dimensions of the error terms. We examine the finite-sample properties of the proposed model and estimation method through extensive simulated studies. Finally, we use the newly proposed model and method to investigate monthly rainfall, temperature, and sunshine data of the UK, respectively. Overall, we find spring and winter have changed significantly over the past 50 years. Changes vary with respect to locations for the other seasons.","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87664791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Wasserstein barycenter for link prediction in temporal networks 时间网络中链路预测的Wasserstein重心
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-02 DOI: 10.1093/jrsssa/qnad088
A. Spelta, N. Pecora
{"title":"Wasserstein barycenter for link prediction in temporal networks","authors":"A. Spelta, N. Pecora","doi":"10.1093/jrsssa/qnad088","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad088","url":null,"abstract":"\u0000 We propose a flexible link forecast methodology for weighted temporal networks. Our probabilistic model estimates the evolving link dynamics among a set of nodes through Wasserstein barycentric coordinates arising within the optimal transport theory. Optimal transport theory is employed to interpolate among network evolution sequences and to compute the probability distribution of forthcoming links. Besides generating point link forecasts for weighted networks, the methodology provides the probability that a link attains weights in a certain interval, namely a quantile of the weights distribution. We test our approach to forecast the link dynamics of the worldwide Foreign Direct Investments network and of the World Trade Network, comparing the performance of the proposed methodology against several alternative models. The performance is evaluated by applying non-parametric diagnostics derived from binary classifications and error measures for regression models. We find that the optimal transport framework outperforms all the competing models when considering quantile forecast. On the other hand, for point forecast, our methodology produces accurate results that are comparable with the best performing alternative model. Results also highlight the role played by model constraints in the determination of future links emphasising that weights are better predicted when accounting for geographical rather than economic distance.","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73410662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1
Crime by the Numbers: A Criminologist’s Guide to R 数字犯罪:犯罪学家的R指南
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-02 DOI: 10.1093/jrsssa/qnad092
V. Kalyani
{"title":"Crime by the Numbers: A Criminologist’s Guide to R","authors":"V. Kalyani","doi":"10.1093/jrsssa/qnad092","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad092","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85147041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Predictive Analytics Using Statistics and Big Data: Concepts and Modelling 使用统计和大数据的预测分析:概念和建模
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-02 DOI: 10.1093/jrsssa/qnad089
D. Thangam
{"title":"Predictive Analytics Using Statistics and Big Data: Concepts and Modelling","authors":"D. Thangam","doi":"10.1093/jrsssa/qnad089","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad089","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89660961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Bernardini, Cibella, and Solari’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only’ by J. Dunne and L.-C. Zhang Bernardini, Cibella和Solari对J. Dunne和l . c . c .对“仅从行政数据编制的人口估计系统”的讨论的贡献。张
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-02 DOI: 10.1093/jrsssa/qnad100
A. Bernardini, Nicoletta Cibella, Fabrizio Solari
{"title":"Bernardini, Cibella, and Solari’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only’ by J. Dunne and L.-C. Zhang","authors":"A. Bernardini, Nicoletta Cibella, Fabrizio Solari","doi":"10.1093/jrsssa/qnad100","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad100","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81223633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS 使用R和SAS的中介、混淆和调节分析的统计方法
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-02 DOI: 10.1093/jrsssa/qnad090
S. Lazic
{"title":"Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS","authors":"S. Lazic","doi":"10.1093/jrsssa/qnad090","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad090","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75748964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Eleanor Law’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only' by John Dunne and Li-Chun Zhang 埃莉诺·劳对约翰·邓恩和张立春关于“仅从行政数据编制的人口估计系统”的讨论的贡献
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-01 DOI: 10.1093/jrsssa/qnad096
E. C. Law
{"title":"Eleanor Law’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only' by John Dunne and Li-Chun Zhang","authors":"E. C. Law","doi":"10.1093/jrsssa/qnad096","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad096","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80852043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 “A system of population estimates compiled from administrative data only” by John Dunne and Li-Chun Zhang 柴静对约翰·邓恩和张立春讨论“仅从行政数据编制的人口估计系统”的贡献
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-01 DOI: 10.1093/jrsssa/qnad099
Christine P Chai
{"title":"Christine P. Chai's contribution to the Discussion of “A system of population estimates compiled from administrative data only” by John Dunne and Li-Chun Zhang","authors":"Christine P Chai","doi":"10.1093/jrsssa/qnad099","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad099","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81416011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
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
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