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
Dynamic prediction using landmark historical functional Cox regression 利用地标历史功能 Cox 回归进行动态预测
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-07-02 DOI: 10.1080/10618600.2024.2374576
Andrew Leroux, Ciprian Crainiceanu
{"title":"Dynamic prediction using landmark historical functional Cox regression","authors":"Andrew Leroux, Ciprian Crainiceanu","doi":"10.1080/10618600.2024.2374576","DOIUrl":"https://doi.org/10.1080/10618600.2024.2374576","url":null,"abstract":"Dynamic prediction of survival data in the presence of time-varying covariates is an area of active research. Two common analytic approaches for this type of data are joint modeling of the longitud...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141584477","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
On the Wasserstein Median of Probability Measures 论概率度量的瓦瑟斯坦中值
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-07-01 DOI: 10.1080/10618600.2024.2374580
Kisung You, Dennis Shung, Mauro Giuffrè
{"title":"On the Wasserstein Median of Probability Measures","authors":"Kisung You, Dennis Shung, Mauro Giuffrè","doi":"10.1080/10618600.2024.2374580","DOIUrl":"https://doi.org/10.1080/10618600.2024.2374580","url":null,"abstract":"The primary choice to summarize a finite collection of random objects is by using measures of central tendency, such as mean and median. In the field of optimal transport, the Wasserstein barycente...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141584475","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
Bootstrapped Edge Count Tests for Nonparametric Two-Sample Inference Under Heterogeneity 异质性条件下用于非参数双样本推断的引导边缘计数检验
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-07-01 DOI: 10.1080/10618600.2024.2374583
Trambak Banerjee, Bhaswar B. Bhattacharya, Gourab Mukherjee
{"title":"Bootstrapped Edge Count Tests for Nonparametric Two-Sample Inference Under Heterogeneity","authors":"Trambak Banerjee, Bhaswar B. Bhattacharya, Gourab Mukherjee","doi":"10.1080/10618600.2024.2374583","DOIUrl":"https://doi.org/10.1080/10618600.2024.2374583","url":null,"abstract":"Nonparametric two-sample testing is a classical problem in inferential statistics. While modern two-sample tests, such as the edge count test and its variants, can handle multivariate and non-Eucli...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141489583","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
Global inference and test for eigensystems of imaging data over complicated domains 复杂域上成像数据特征系统的全局推理和测试
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-07-01 DOI: 10.1080/10618600.2024.2374584
Leheng Cai, Qirui Hu
{"title":"Global inference and test for eigensystems of imaging data over complicated domains","authors":"Leheng Cai, Qirui Hu","doi":"10.1080/10618600.2024.2374584","DOIUrl":"https://doi.org/10.1080/10618600.2024.2374584","url":null,"abstract":"A nonparametric approach for analyzing eigensystems of image data over a complex domain is novelly developed. The proposed estimators, which are based on bivariate splines, have both oracle efficie...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141489569","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 L12 regression 贝叶斯 L12 回归
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-07-01 DOI: 10.1080/10618600.2024.2374579
Xiongwen Ke, Yanan Fan
{"title":"Bayesian L12 regression","authors":"Xiongwen Ke, Yanan Fan","doi":"10.1080/10618600.2024.2374579","DOIUrl":"https://doi.org/10.1080/10618600.2024.2374579","url":null,"abstract":"It is well known that Bridge regression Knight et al. (2000) enjoys superior theoretical properties when compared to traditional LASSO. However, the current latent variable representation of its Ba...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141557126","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
Principal variables analysis for non-Gaussian data 非高斯数据的主变量分析
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-06-13 DOI: 10.1080/10618600.2024.2367098
Dylan Clark-Boucher, Jeffrey W. Miller
{"title":"Principal variables analysis for non-Gaussian data","authors":"Dylan Clark-Boucher, Jeffrey W. Miller","doi":"10.1080/10618600.2024.2367098","DOIUrl":"https://doi.org/10.1080/10618600.2024.2367098","url":null,"abstract":"Principal variables analysis (PVA) is a technique for selecting a subset of variables that capture as much of the information in a dataset as possible. Existing approaches for PVA are based on the ...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315750","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
A distribution-free method for change point detection in non-sparse high dimensional data 在非稀疏高维数据中检测变化点的无分布方法
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-06-12 DOI: 10.1080/10618600.2024.2365733
Reza Drikvandi, Reza Modarres
{"title":"A distribution-free method for change point detection in non-sparse high dimensional data","authors":"Reza Drikvandi, Reza Modarres","doi":"10.1080/10618600.2024.2365733","DOIUrl":"https://doi.org/10.1080/10618600.2024.2365733","url":null,"abstract":"We propose a distribution-free distance-based method for high dimensional change points that can address challenging situations when the sample size is very small compared to the dimension as in th...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141333665","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
Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Hierarchical Models 直接从一类空间层次模型的后验分布生成独立副本
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-06-11 DOI: 10.1080/10618600.2024.2365728
Jonathan R. Bradley, Madelyn Clinch
{"title":"Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Hierarchical Models","authors":"Jonathan R. Bradley, Madelyn Clinch","doi":"10.1080/10618600.2024.2365728","DOIUrl":"https://doi.org/10.1080/10618600.2024.2365728","url":null,"abstract":"Markov chain Monte Carlo (MCMC) allows one to generate dependent replicates from a posterior distribution for effectively any Bayesian hierarchical model. However, MCMC can produce a significant co...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141309042","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
Testing Model Specification in Approximate Bayesian Computation Using Asymptotic Properties 利用渐近特性检验近似贝叶斯计算中的模型规范
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-06-11 DOI: 10.1080/10618600.2024.2357630
Andrés Ramírez-Hassan, David T. Frazier
{"title":"Testing Model Specification in Approximate Bayesian Computation Using Asymptotic Properties","authors":"Andrés Ramírez-Hassan, David T. Frazier","doi":"10.1080/10618600.2024.2357630","DOIUrl":"https://doi.org/10.1080/10618600.2024.2357630","url":null,"abstract":"We present a novel procedure to diagnose model misspecification in situations where inference is performed using approximate Bayesian computation (ABC). Unlike previous procedures, our proposal is ...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141308943","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
Interval-censored linear quantile regression 区间截断线性量回归
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-06-11 DOI: 10.1080/10618600.2024.2365740
Taehwa Choi, Seohyeon Park, Hunyong Cho, Sangbum Choi
{"title":"Interval-censored linear quantile regression","authors":"Taehwa Choi, Seohyeon Park, Hunyong Cho, Sangbum Choi","doi":"10.1080/10618600.2024.2365740","DOIUrl":"https://doi.org/10.1080/10618600.2024.2365740","url":null,"abstract":"Censored quantile regression has emerged as a prominent alternative to classical Cox’s proportional hazards model or accelerated failure time model in both theoretical and applied statistics. While...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141309146","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：481959085
Book学术官方微信