发布求助
文献互助 智能选刊 最新文献

Journal of Computational and Graphical Statistics最新文献

筛选
英文 中文
Simultaneous coefficient clustering and sparsity for multivariate mixed models 多变量混合模型的同步系数聚类和稀疏性
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-09-13 DOI: 10.1080/10618600.2024.2402904
Francis K.C. Hui, Khue-Dung Dang, Luca Maestrini
{"title":"Simultaneous coefficient clustering and sparsity for multivariate mixed models","authors":"Francis K.C. Hui, Khue-Dung Dang, Luca Maestrini","doi":"10.1080/10618600.2024.2402904","DOIUrl":"https://doi.org/10.1080/10618600.2024.2402904","url":null,"abstract":"In many applications of multivariate longitudinal mixed models, it is reasonable to assume that each response is informed by only a subset of covariates. Moreover, one or more responses may exhibit...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"4 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142325074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Optimal Subsampling for Functional Quasi-Mode Regression with Big Data 大数据功能准模式回归的最佳子采样
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-09-12 DOI: 10.1080/10618600.2024.2402279
Tao Wang
{"title":"Optimal Subsampling for Functional Quasi-Mode Regression with Big Data","authors":"Tao Wang","doi":"10.1080/10618600.2024.2402279","DOIUrl":"https://doi.org/10.1080/10618600.2024.2402279","url":null,"abstract":"We propose investigating optimal subsampling for functional regression with massive datasets based on the mode value, which is referred to as functional quasi-mode regression, to reduce data volume...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"11 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142245214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks 利用卷积神经网络进行高效的大规模非稳态空间协方差函数估计
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-09-12 DOI: 10.1080/10618600.2024.2402277
Pratik Nag, Yiping Hong, Sameh Abdulah, Ghulam A. Qadir, Marc G. Genton, Ying Sun
{"title":"Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks","authors":"Pratik Nag, Yiping Hong, Sameh Abdulah, Ghulam A. Qadir, Marc G. Genton, Ying Sun","doi":"10.1080/10618600.2024.2402277","DOIUrl":"https://doi.org/10.1080/10618600.2024.2402277","url":null,"abstract":"Spatial processes observed in various fields, such as climate and environmental science, often occur at large-scale and demonstrate spatial nonstationarity. However, fitting a Gaussian process with...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"17 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Variational inference based on a subclass of closed skew normals 基于封闭偏斜法线子类的变量推理
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-09-12 DOI: 10.1080/10618600.2024.2402278
Linda S. L. Tan, Aoxiang Chen
{"title":"Variational inference based on a subclass of closed skew normals","authors":"Linda S. L. Tan, Aoxiang Chen","doi":"10.1080/10618600.2024.2402278","DOIUrl":"https://doi.org/10.1080/10618600.2024.2402278","url":null,"abstract":"Gaussian distributions are widely used in Bayesian variational inference to approximate intractable posterior densities, but the ability to accommodate skewness can improve approximation accuracy s...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"55 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142325075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Bayesian nowcasting with Laplacian-P-splines 利用拉普拉斯-P-样条曲线进行贝叶斯现时预测
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-09-12 DOI: 10.1080/10618600.2024.2395414
Bryan Sumalinab, Oswaldo Gressani, Niel Hens, Christel Faes
{"title":"Bayesian nowcasting with Laplacian-P-splines","authors":"Bryan Sumalinab, Oswaldo Gressani, Niel Hens, Christel Faes","doi":"10.1080/10618600.2024.2395414","DOIUrl":"https://doi.org/10.1080/10618600.2024.2395414","url":null,"abstract":"During an epidemic, the daily number of reported infected cases, deaths or hospitalizations is often lower than the actual number due to reporting delays. Nowcasting aims to estimate the cases that...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"29 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Efficient convex PCA with applications to Wasserstein GPCA and ranked data 高效凸 PCA 与 Wasserstein GPCA 和排序数据的应用
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-09-12 DOI: 10.1080/10618600.2024.2402280
Steven Campbell, Ting-Kam Leonard Wong
{"title":"Efficient convex PCA with applications to Wasserstein GPCA and ranked data","authors":"Steven Campbell, Ting-Kam Leonard Wong","doi":"10.1080/10618600.2024.2402280","DOIUrl":"https://doi.org/10.1080/10618600.2024.2402280","url":null,"abstract":"Convex PCA, which was introduced in Bigot et al. (2017), modifies Euclidean PCA by restricting the data and the principal components to lie in a given convex subset of a Hilbert space. This setting...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"13 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142245216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Optimal decorrelated score subsampling for high-dimensional generalized linear models under measurement constraints 测量约束条件下高维广义线性模型的最优装饰相关得分子采样
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-09-12 DOI: 10.1080/10618600.2024.2402896
Yujing Shao, Lei Wang, Heng Lian
{"title":"Optimal decorrelated score subsampling for high-dimensional generalized linear models under measurement constraints","authors":"Yujing Shao, Lei Wang, Heng Lian","doi":"10.1080/10618600.2024.2402896","DOIUrl":"https://doi.org/10.1080/10618600.2024.2402896","url":null,"abstract":"When responses of massive data are hard to obtain due to some reasons such as privacy and security, high cost and administrative management, response-free subsampling is considered. In this paper, ...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"36 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142321119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Co-factor analysis of citation networks 引文网络的共因分析
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-08-27 DOI: 10.1080/10618600.2024.2394464
Alex Hayes, Karl Rohe
{"title":"Co-factor analysis of citation networks","authors":"Alex Hayes, Karl Rohe","doi":"10.1080/10618600.2024.2394464","DOIUrl":"https://doi.org/10.1080/10618600.2024.2394464","url":null,"abstract":"One compelling use of citation networks is to characterize papers by their relationships to the surrounding literature. We propose a method to characterize papers by embedding them into two distinc...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"381 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142130831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models 空间均值参数化康威-麦克斯韦-泊松模型的快速贝叶斯推理
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-08-21 DOI: 10.1080/10618600.2024.2394460
Bokgyeong Kang, John Hughes, Murali Haran
{"title":"Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models","authors":"Bokgyeong Kang, John Hughes, Murali Haran","doi":"10.1080/10618600.2024.2394460","DOIUrl":"https://doi.org/10.1080/10618600.2024.2394460","url":null,"abstract":"Count data with complex features arise in many disciplines, including ecology, agriculture, criminology, medicine, and public health. Zero inflation, spatial dependence, and non-equidispersion are ...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"7 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Beyond time-homogeneity for continuous-time multistate Markov models 超越连续时间多态马尔可夫模型的时间同质性
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-08-08 DOI: 10.1080/10618600.2024.2388609
Emmett B. Kendall, Jonathan P. Williams, Gudmund H. Hermansen, Frederic Bois, Vo Hong Thanh
{"title":"Beyond time-homogeneity for continuous-time multistate Markov models","authors":"Emmett B. Kendall, Jonathan P. Williams, Gudmund H. Hermansen, Frederic Bois, Vo Hong Thanh","doi":"10.1080/10618600.2024.2388609","DOIUrl":"https://doi.org/10.1080/10618600.2024.2388609","url":null,"abstract":"Multistate Markov models are a canonical parametric approach for data modeling of observed or latent stochastic processes supported on a finite state space. Continuous-time Markov processes describ...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"12 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141909305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 下一页 尾页
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：604180095
Book学术官方微信