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

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Authors’ reply to the Discussion of ‘Root and community inference on the latent growth process of a network’ 作者对 "关于网络潜在增长过程的根和群落推论 "讨论的回复
Journal of the Royal Statistical Society Series B: Statistical Methodology Pub Date : 2024-06-07 DOI: 10.1093/jrsssb/qkae052
Harry Crane, Min Xu
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引用次数: 0
Wang, Yu and Rinaldo’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu Wang、Yu 和 Rinaldo 对 Crane 和 Xu 关于 "网络潜在增长过程的根和群落推断 "讨论的贡献
Journal of the Royal Statistical Society Series B: Statistical Methodology Pub Date : 2024-06-07 DOI: 10.1093/jrsssb/qkae054
Fan Wang, Yi Yu, Alessandro Rinaldo
{"title":"Wang, Yu and Rinaldo’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu","authors":"Fan Wang, Yi Yu, Alessandro Rinaldo","doi":"10.1093/jrsssb/qkae054","DOIUrl":"https://doi.org/10.1093/jrsssb/qkae054","url":null,"abstract":"","PeriodicalId":506057,"journal":{"name":"Journal of the Royal Statistical Society Series B: Statistical Methodology","volume":" 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141374151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Proposers of the vote of thanks to Crane and Xu and contribution to the discussion of “Root and community inference on the latent growth process of a network” 向 Crane 和 Xu 致谢并参与讨论 "网络潜在增长过程的根和群落推论 "的提议者
Journal of the Royal Statistical Society Series B: Statistical Methodology Pub Date : 2024-06-04 DOI: 10.1093/jrsssb/qkae043
Varun Jog, Po-Ling Loh
{"title":"Proposers of the vote of thanks to Crane and Xu and contribution to the discussion of “Root and community inference on the latent growth process of a network”","authors":"Varun Jog, Po-Ling Loh","doi":"10.1093/jrsssb/qkae043","DOIUrl":"https://doi.org/10.1093/jrsssb/qkae043","url":null,"abstract":"","PeriodicalId":506057,"journal":{"name":"Journal of the Royal Statistical Society Series B: Statistical Methodology","volume":"4 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141267414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Xin Tong and Qing Yang's contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu 童昕和杨青对 Crane 和 Xu 关于 "网络潜在增长过程中的根和群落推断 "的讨论的贡献
Journal of the Royal Statistical Society Series B: Statistical Methodology Pub Date : 2024-06-04 DOI: 10.1093/jrsssb/qkae050
Qing Yang, Xin Tong
{"title":"Xin Tong and Qing Yang's contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu","authors":"Qing Yang, Xin Tong","doi":"10.1093/jrsssb/qkae050","DOIUrl":"https://doi.org/10.1093/jrsssb/qkae050","url":null,"abstract":"","PeriodicalId":506057,"journal":{"name":"Journal of the Royal Statistical Society Series B: Statistical Methodology","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141267526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tianxi Li’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu 李天喜对 Crane 和 Xu 关于 "网络潜在增长过程的根和群落推断 "讨论的贡献
Journal of the Royal Statistical Society Series B: Statistical Methodology Pub Date : 2024-06-03 DOI: 10.1093/jrsssb/qkae046
Tianxi Li
{"title":"Tianxi Li’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu","authors":"Tianxi Li","doi":"10.1093/jrsssb/qkae046","DOIUrl":"https://doi.org/10.1093/jrsssb/qkae046","url":null,"abstract":"","PeriodicalId":506057,"journal":{"name":"Journal of the Royal Statistical Society Series B: Statistical Methodology","volume":"19 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141271769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sayan Banerjee’s contribution to the Discussion of “Root and community inference on the latent growth process of a network” by Crane and Xu Sayan Banerjee 对 Crane 和 Xu 关于 "网络潜在增长过程的根和群落推断 "讨论的贡献
Journal of the Royal Statistical Society Series B: Statistical Methodology Pub Date : 2024-06-03 DOI: 10.1093/jrsssb/qkae047
Sayan Banerjee
{"title":"Sayan Banerjee’s contribution to the Discussion of “Root and community inference on the latent growth process of a network” by Crane and Xu","authors":"Sayan Banerjee","doi":"10.1093/jrsssb/qkae047","DOIUrl":"https://doi.org/10.1093/jrsssb/qkae047","url":null,"abstract":"","PeriodicalId":506057,"journal":{"name":"Journal of the Royal Statistical Society Series B: Statistical Methodology","volume":"89 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141272666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ascolani, Lijoi and Prünster's contribution to the Discussion of “Root and community inference on the latent growth process of a network” by Crane, H. and Xu, M Ascolani、Lijoi 和 Prünster 对 Crane, H. 和 Xu, M 所著 "关于网络潜在增长过程的根和群落推断 "讨论的贡献
Journal of the Royal Statistical Society Series B: Statistical Methodology Pub Date : 2024-06-03 DOI: 10.1093/jrsssb/qkae045
Filippo Ascolani, Antonio Lijoi, Igor Prünster
{"title":"Ascolani, Lijoi and Prünster's contribution to the Discussion of “Root and community inference on the latent growth process of a network” by Crane, H. and Xu, M","authors":"Filippo Ascolani, Antonio Lijoi, Igor Prünster","doi":"10.1093/jrsssb/qkae045","DOIUrl":"https://doi.org/10.1093/jrsssb/qkae045","url":null,"abstract":"","PeriodicalId":506057,"journal":{"name":"Journal of the Royal Statistical Society Series B: Statistical Methodology","volume":"34 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141270619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Yicong Jiang and Zheng Tracy Ke’s Contribution to the Discussion of “Root and community inference on the la- tent growth process of a network” by Harry Crane and Min Xu 蒋一聪和柯政 Tracy 对 Harry Crane 和徐敏合著的《根和群落对网络生长过程的推断》讨论的贡献
Journal of the Royal Statistical Society Series B: Statistical Methodology Pub Date : 2024-06-03 DOI: 10.1093/jrsssb/qkae048
Yicong Jiang, Z. T. Ke
{"title":"Yicong Jiang and Zheng Tracy Ke’s Contribution to the Discussion of “Root and community inference on the la- tent growth process of a network” by Harry Crane and Min Xu","authors":"Yicong Jiang, Z. T. Ke","doi":"10.1093/jrsssb/qkae048","DOIUrl":"https://doi.org/10.1093/jrsssb/qkae048","url":null,"abstract":"","PeriodicalId":506057,"journal":{"name":"Journal of the Royal Statistical Society Series B: Statistical Methodology","volume":"9 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141271680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Jason Wyse, James Ng, Arthur White and Michael Fop’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu Jason Wyse、James Ng、Arthur White 和 Michael Fop 对 Crane 和 Xu 的 "网络潜在增长过程中的根和群落推断 "讨论的贡献
Journal of the Royal Statistical Society Series B: Statistical Methodology Pub Date : 2024-06-03 DOI: 10.1093/jrsssb/qkae049
Jason Wyse, James Ng, Arthur White, Michael Fop
{"title":"Jason Wyse, James Ng, Arthur White and Michael Fop’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu","authors":"Jason Wyse, James Ng, Arthur White, Michael Fop","doi":"10.1093/jrsssb/qkae049","DOIUrl":"https://doi.org/10.1093/jrsssb/qkae049","url":null,"abstract":"","PeriodicalId":506057,"journal":{"name":"Journal of the Royal Statistical Society Series B: Statistical Methodology","volume":"15 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141271433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neural networks meet random forests 神经网络与随机森林
Journal of the Royal Statistical Society Series B: Statistical Methodology Pub Date : 2024-05-22 DOI: 10.1093/jrsssb/qkae038
Rui Qiu, Shuntuo Xu, Zhou Yu
{"title":"Neural networks meet random forests","authors":"Rui Qiu, Shuntuo Xu, Zhou Yu","doi":"10.1093/jrsssb/qkae038","DOIUrl":"https://doi.org/10.1093/jrsssb/qkae038","url":null,"abstract":"\u0000 Neural networks and random forests are popular and promising tools for machine learning. This article explores the proper integration of these two approaches for nonparametric regression to improve the performance of a single approach. Specifically, we propose a neural network estimator with local enhancement provided by random forests. It naturally synthesizes the local relation adaptivity of random forests and the strong global approximation ability of neural networks. Based on the classical empirical risk minimization framework, we establish a nonasymptotic error bound for the estimator. By utilizing advanced U-process theory and an appropriate network structure, we can further improve the convergence rate to the nearly minimax rate. Also with the assistance of random forests, we can implement gradient learning with neural networks. Comprehensive simulation studies and real data applications demonstrate the superiority of our proposal.","PeriodicalId":506057,"journal":{"name":"Journal of the Royal Statistical Society Series B: Statistical Methodology","volume":"54 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141112823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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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