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Mapper–type algorithms for complex data and relations 复杂数据和关系的映射器类型算法
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-04-22 DOI: 10.1080/10618600.2024.2343321
Paweł Dłotko, Davide Gurnari, Radmila Sazdanovic
{"title":"Mapper–type algorithms for complex data and relations","authors":"Paweł Dłotko, Davide Gurnari, Radmila Sazdanovic","doi":"10.1080/10618600.2024.2343321","DOIUrl":"https://doi.org/10.1080/10618600.2024.2343321","url":null,"abstract":"Mapper and Ball Mapper are Topological Data Analysis tools used for exploring high dimensional point clouds and visualizing scalar–valued functions on those point clouds. Inspired by open questions...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141091879","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 Plot is Worth a Thousand Tests: Assessing Residual Diagnostics with the Lineup Protocol 一张图胜过千百次测试：用排列规程评估残留诊断结果
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-04-22 DOI: 10.1080/10618600.2024.2344612
Weihao Li, Dianne Cook, Emi Tanaka, Susan VanderPlas
{"title":"A Plot is Worth a Thousand Tests: Assessing Residual Diagnostics with the Lineup Protocol","authors":"Weihao Li, Dianne Cook, Emi Tanaka, Susan VanderPlas","doi":"10.1080/10618600.2024.2344612","DOIUrl":"https://doi.org/10.1080/10618600.2024.2344612","url":null,"abstract":"Regression experts consistently recommend plotting residuals for model diagnosis, despite the availability of many numerical hypothesis test procedures designed to use residuals to assess problems ...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140632318","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
Group Selection and Shrinkage: Structured Sparsity for Semiparametric Additive Models 分组选择与收缩：半参数加法模型的结构稀疏性
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-04-22 DOI: 10.1080/10618600.2024.2330517
Ryan Thompson, Farshid Vahid
{"title":"Group Selection and Shrinkage: Structured Sparsity for Semiparametric Additive Models","authors":"Ryan Thompson, Farshid Vahid","doi":"10.1080/10618600.2024.2330517","DOIUrl":"https://doi.org/10.1080/10618600.2024.2330517","url":null,"abstract":"","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676882","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
Loss-Based Variational Bayes Prediction 基于损失的变异贝叶斯预测
IF 2.4 2区 数学
Journal of Computational and Graphical Statistics Pub Date : 2024-04-16 DOI: 10.1080/10618600.2024.2341899
David T. Frazier, Rubén Loaiza-Maya, Gael M. Martin, Bonsoo Koo
{"title":"Loss-Based Variational Bayes Prediction","authors":"David T. Frazier, Rubén Loaiza-Maya, Gael M. Martin, Bonsoo Koo","doi":"10.1080/10618600.2024.2341899","DOIUrl":"https://doi.org/10.1080/10618600.2024.2341899","url":null,"abstract":"We propose a new approach to Bayesian prediction that caters for models with a large number of parameters and is robust to model misspecification. Given a class of high-dimensional (but parametric)...","PeriodicalId":15422,"journal":{"name":"Journal of Computational and Graphical Statistics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603829","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
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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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
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