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Journal of Computational and Graphical Statistics最新文献

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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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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
Independence-Encouraging Subsampling for Nonparametric Additive Models 非参数加法模型的独立鼓励子采样
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-03-01 DOI: 10.1080/10618600.2024.2326136
Yi Zhang, Lin Wang, Xiaoke Zhang, HaiYing Wang
{"title":"Independence-Encouraging Subsampling for Nonparametric Additive Models","authors":"Yi Zhang, Lin Wang, Xiaoke Zhang, HaiYing Wang","doi":"10.1080/10618600.2024.2326136","DOIUrl":"https://doi.org/10.1080/10618600.2024.2326136","url":null,"abstract":"The additive model is a popular nonparametric regression method due to its ability to retain modeling flexibility while avoiding the curse of dimensionality. The backfitting algorithm is an intuiti...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140000947","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 multi-attribute evaluation of genotype-environment experiments using biplots and joint plots graphics 利用双图和联合图对基因型-环境实验进行多属性评估
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-02-29 DOI: 10.1080/10618600.2024.2325445
Jhessica Leticia Kirch, Acácia Mecejana Diniz Souza Spitti, Alisson Fernando Chiorato, Carlos Tadeu dos Santos Dias, César Gonçalves de Lima
{"title":"A multi-attribute evaluation of genotype-environment experiments using biplots and joint plots graphics","authors":"Jhessica Leticia Kirch, Acácia Mecejana Diniz Souza Spitti, Alisson Fernando Chiorato, Carlos Tadeu dos Santos Dias, César Gonçalves de Lima","doi":"10.1080/10618600.2024.2325445","DOIUrl":"https://doi.org/10.1080/10618600.2024.2325445","url":null,"abstract":"In plant breeding studies, some of objectives are to study the interaction between genotype and environment (GEI), evaluating genotypic stability and adaptability. The additive model with multiplic...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140000936","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 penalized criterion for selecting the number of clusters for K-medians 为 K 媒介选择聚类数量的惩罚性标准
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-02-29 DOI: 10.1080/10618600.2024.2325458
Antoine Godichon-Baggioni, Sobihan Surendran
{"title":"A penalized criterion for selecting the number of clusters for K-medians","authors":"Antoine Godichon-Baggioni, Sobihan Surendran","doi":"10.1080/10618600.2024.2325458","DOIUrl":"https://doi.org/10.1080/10618600.2024.2325458","url":null,"abstract":"Clustering is a usual unsupervised machine learning technique for grouping the data points into groups based upon similar features. We focus here on unsupervised clustering for contaminated data, i...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140000945","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
The Journal of Computational and Graphical Statistics 2023 Associate Editors 计算与图形统计学杂志》2023 年副主编
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-02-26 DOI: 10.1080/10618600.2024.2319476
{"title":"The Journal of Computational and Graphical Statistics 2023 Associate Editors","authors":"","doi":"10.1080/10618600.2024.2319476","DOIUrl":"https://doi.org/10.1080/10618600.2024.2319476","url":null,"abstract":"Published in Journal of Computational and Graphical Statistics (Vol. 33, No. 1, 2024)","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139976729","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 Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices 用于零膨胀数据矩阵协同聚类的深度动态潜块模型
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-02-23 DOI: 10.1080/10618600.2024.2319162
Giulia Marchello, Marco Corneli, Charles Bouveyron
{"title":"A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices","authors":"Giulia Marchello, Marco Corneli, Charles Bouveyron","doi":"10.1080/10618600.2024.2319162","DOIUrl":"https://doi.org/10.1080/10618600.2024.2319162","url":null,"abstract":"The simultaneous clustering of observations and features of data sets (known as co-clustering) has recently emerged as a central machine learning application to summarize massive data sets. However...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139988227","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
Hammock plots: visualizing categorical and numerical variables 吊床图：分类和数字变量的可视化
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-02-22 DOI: 10.1080/10618600.2024.2322561
Matthias Schonlau
{"title":"Hammock plots: visualizing categorical and numerical variables","authors":"Matthias Schonlau","doi":"10.1080/10618600.2024.2322561","DOIUrl":"https://doi.org/10.1080/10618600.2024.2322561","url":null,"abstract":"I discuss the hammock plot for visualizing categorical or mixed categorical/numeric data. Hammock plots can be viewed as a generalization of parallel coordinate plots where the lines are replaced b...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139994287","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
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