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
Wavelet feature screening 小波特征筛选
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-04-15 DOI: 10.1080/10618600.2024.2342984
Rodney Fonseca, Pedro Morettin, Aluísio Pinheiro
{"title":"Wavelet feature screening","authors":"Rodney Fonseca, Pedro Morettin, Aluísio Pinheiro","doi":"10.1080/10618600.2024.2342984","DOIUrl":"https://doi.org/10.1080/10618600.2024.2342984","url":null,"abstract":"An initial screening of which covariates are relevant is a common practice in high-dimensional regression models. The classic feature screening selects only a subset of covariates correlated with t...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"48 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140553690","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
Data Nuggets: A Method for Reducing Big Data While Preserving Data Structure 数据块：在保留数据结构的同时减少大数据的方法
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-04-12 DOI: 10.1080/10618600.2024.2341896
Traymon E. Beavers, Ge Cheng, Yajie Duan, Javier Cabrera, Mariusz Lubomirski, Dhammika Amaratunga, Jeffrey E. Teigler
{"title":"Data Nuggets: A Method for Reducing Big Data While Preserving Data Structure","authors":"Traymon E. Beavers, Ge Cheng, Yajie Duan, Javier Cabrera, Mariusz Lubomirski, Dhammika Amaratunga, Jeffrey E. Teigler","doi":"10.1080/10618600.2024.2341896","DOIUrl":"https://doi.org/10.1080/10618600.2024.2341896","url":null,"abstract":"Big data, with N×P dimension where N is extremely large, has created new challenges for data analysis, particularly in the realm of creating meaningful clusters of data. Clustering techniques, suc...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"42 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140547780","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
Distributed Learning for Principal Eigenspaces without Moment Constraints 无矩阵约束的主特征空间分布式学习
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-04-12 DOI: 10.1080/10618600.2024.2341889
Yong He, Zichen Liu, Yalin Wang
{"title":"Distributed Learning for Principal Eigenspaces without Moment Constraints","authors":"Yong He, Zichen Liu, Yalin Wang","doi":"10.1080/10618600.2024.2341889","DOIUrl":"https://doi.org/10.1080/10618600.2024.2341889","url":null,"abstract":"Distributed Principal Component Analysis (PCA) has been studied to deal with the case when data are stored across multiple machines and communication cost or privacy concerns prohibit the computati...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"47 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140547819","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
Relative Entropy Gradient Sampler for Unnormalized Distribution 非标准化分布的相对熵梯度采样器
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-04-09 DOI: 10.1080/10618600.2024.2340523
Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu
{"title":"Relative Entropy Gradient Sampler for Unnormalized Distribution","authors":"Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu","doi":"10.1080/10618600.2024.2340523","DOIUrl":"https://doi.org/10.1080/10618600.2024.2340523","url":null,"abstract":"We propose a relative entropy gradient sampler (REGS) for sampling from unnormalized distributions. REGS is a particle method that seeks a sequence of simple nonlinear transforms iteratively pushin...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"263 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140541453","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 inference for modularity statistics in structured networks 论结构化网络中模块化统计的推断
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-04-01 DOI: 10.1080/10618600.2024.2336147
Anirban Mitra, Konasale Prasad, Joshua Cape
{"title":"On inference for modularity statistics in structured networks","authors":"Anirban Mitra, Konasale Prasad, Joshua Cape","doi":"10.1080/10618600.2024.2336147","DOIUrl":"https://doi.org/10.1080/10618600.2024.2336147","url":null,"abstract":"This paper revisits the classical concept of network modularity and its spectral relaxations used throughout graph data analysis. We formulate and study several modularity statistic variants for wh...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"32 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140346315","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 Bayesian Neural Networks via Resolution of Singularities 通过奇异性解析的变异贝叶斯神经网络
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-03-14 DOI: 10.1080/10618600.2024.2325455
Susan Wei, Edmund Lau
{"title":"Variational Bayesian Neural Networks via Resolution of Singularities","authors":"Susan Wei, Edmund Lau","doi":"10.1080/10618600.2024.2325455","DOIUrl":"https://doi.org/10.1080/10618600.2024.2325455","url":null,"abstract":"In this work, we advocate for the importance of singular learning theory (SLT) as it pertains to the theory and practice of variational inference in Bayesian neural networks (BNNs). To begin, we la...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"27 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140135798","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
An exact game-theoretic variable importance index for generalized additive models 广义加法模型的精确博弈论变量重要性指数
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-03-13 DOI: 10.1080/10618600.2024.2327577
Amir Khorrami Chokami, Giovanni Rabitti
{"title":"An exact game-theoretic variable importance index for generalized additive models","authors":"Amir Khorrami Chokami, Giovanni Rabitti","doi":"10.1080/10618600.2024.2327577","DOIUrl":"https://doi.org/10.1080/10618600.2024.2327577","url":null,"abstract":"Generalized Additive Models (GAMs) are widely used in statistics. In this work, we aim to tackle the challenge of identifying the most influential variables in GAMs. To accomplish this, we introduc...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"136 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140139533","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
High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization 使用加权核规范正则化的高维多变量线性回归
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-03-13 DOI: 10.1080/10618600.2024.2331020
Namjoon Suh, Li-Hsiang Lin, Xiaoming Huo
{"title":"High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization","authors":"Namjoon Suh, Li-Hsiang Lin, Xiaoming Huo","doi":"10.1080/10618600.2024.2331020","DOIUrl":"https://doi.org/10.1080/10618600.2024.2331020","url":null,"abstract":"We consider a low-rank matrix estimation problem when the data is assumed to be generated from the multivariate linear regression model. To induce the low-rank coefficient matrix, we employ the wei...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"18 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140139436","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
Semiparametric Probit Regression Model with General Interval-Censored Failure Time Data 具有一般间隔删失故障时间数据的半参数 Probit 回归模型
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-03-12 DOI: 10.1080/10618600.2024.2330523
Yi Deng, Shuwei Li, Liuquan Sun, Xinyuan Song
{"title":"Semiparametric Probit Regression Model with General Interval-Censored Failure Time Data","authors":"Yi Deng, Shuwei Li, Liuquan Sun, Xinyuan Song","doi":"10.1080/10618600.2024.2330523","DOIUrl":"https://doi.org/10.1080/10618600.2024.2330523","url":null,"abstract":"Interval-censored data frequently arise in various biomedical areas involving periodical follow-ups where the failure or event time of interest cannot be observed exactly but is only known to fall ...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"10 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140114390","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
Generative Quantile Regression with Variability Penalty 带有变异性惩罚的生成式量子回归
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-03-08 DOI: 10.1080/10618600.2024.2327824
Shijie Wang, Minsuk Shin, Ray Bai
{"title":"Generative Quantile Regression with Variability Penalty","authors":"Shijie Wang, Minsuk Shin, Ray Bai","doi":"10.1080/10618600.2024.2327824","DOIUrl":"https://doi.org/10.1080/10618600.2024.2327824","url":null,"abstract":"Quantile regression and conditional density estimation can reveal structure that is missed by mean regression, such as multimodality and skewness. In this paper, we introduce a deep learning genera...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":"55 4 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140064053","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