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Robust Matrix Completion with Heavy-tailed Noise 重尾噪声下的鲁棒矩阵补全
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-07-03 DOI: 10.1080/01621459.2024.2375037
Bingyan Wang, Jianqing Fan
{"title":"Robust Matrix Completion with Heavy-tailed Noise","authors":"Bingyan Wang, Jianqing Fan","doi":"10.1080/01621459.2024.2375037","DOIUrl":"https://doi.org/10.1080/01621459.2024.2375037","url":null,"abstract":"This paper studies noisy low-rank matrix completion in the presence of heavy-tailed and possibly asymmetric noise, where we aim to estimate an underlying low-rank matrix given a set of highly incom...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141597508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions 通过矩阵补全实现 Hüsler-Reiss 图形模型的统计推断
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-26 DOI: 10.1080/01621459.2024.2371978
Manuel Hentschel, Sebastian Engelke, Johan Segers
{"title":"Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions","authors":"Manuel Hentschel, Sebastian Engelke, Johan Segers","doi":"10.1080/01621459.2024.2371978","DOIUrl":"https://doi.org/10.1080/01621459.2024.2371978","url":null,"abstract":"The severity of multivariate extreme events is driven by the dependence between the largest marginal observations. The Hüsler–Reiss distribution is a versatile model for this extremal dependence, a...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141597509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data in Autism 稀疏独立成分分析在自闭症皮层表面 fMRI 数据中的应用
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-26 DOI: 10.1080/01621459.2024.2370593
Zihang Wang, Irina Gaynanova, Aleksandr Aravkin, Benjamin B. Risk
{"title":"Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data in Autism","authors":"Zihang Wang, Irina Gaynanova, Aleksandr Aravkin, Benjamin B. Risk","doi":"10.1080/01621459.2024.2370593","DOIUrl":"https://doi.org/10.1080/01621459.2024.2370593","url":null,"abstract":"Independent component analysis (ICA) is widely used to estimate spatial resting-state networks and their time courses in neuroimaging studies. It is thought that independent components correspond t...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141602670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Contextual Dynamic Pricing with Strategic Buyers 战略买家的情境动态定价
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-26 DOI: 10.1080/01621459.2024.2370613
Pangpang Liu, Zhuoran Yang, Zhaoran Wang, Will Wei Sun
{"title":"Contextual Dynamic Pricing with Strategic Buyers","authors":"Pangpang Liu, Zhuoran Yang, Zhaoran Wang, Will Wei Sun","doi":"10.1080/01621459.2024.2370613","DOIUrl":"https://doi.org/10.1080/01621459.2024.2370613","url":null,"abstract":"Personalized pricing, which involves tailoring prices based on individual characteristics, is commonly used by firms to implement a consumer-specific pricing policy. In this process, buyers can als...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141597512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Synthetic likelihood in misspecified models 失范模型中的合成似然法
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-24 DOI: 10.1080/01621459.2024.2370594
David T. Frazier, David J. Nott, Christopher Drovandi
{"title":"Synthetic likelihood in misspecified models","authors":"David T. Frazier, David J. Nott, Christopher Drovandi","doi":"10.1080/01621459.2024.2370594","DOIUrl":"https://doi.org/10.1080/01621459.2024.2370594","url":null,"abstract":"Bayesian synthetic likelihood is a widely used approach for conducting Bayesian analysis in complex models where evaluation of the likelihood is infeasible but simulation from the assumed model is ...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141597510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors 有监督的动态 PCA：多预测因子线性动态预测
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-24 DOI: 10.1080/01621459.2024.2370592
Zhaoxing Gao, Ruey S. Tsay
{"title":"Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors","authors":"Zhaoxing Gao, Ruey S. Tsay","doi":"10.1080/01621459.2024.2370592","DOIUrl":"https://doi.org/10.1080/01621459.2024.2370592","url":null,"abstract":"This paper proposes a novel dynamic forecasting method using a new supervised Principal Component Analysis (PCA) when a large number of predictors are available. The new supervised PCA provides an ...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141726062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Corrigendum to Maximum Likelihood Estimation of the Multivariate Normal Mixture Model 多元正态混合模型的最大似然估计》勘误表
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-21 DOI: 10.1080/01621459.2024.2370355
{"title":"Corrigendum to Maximum Likelihood Estimation of the Multivariate Normal Mixture Model","authors":"","doi":"10.1080/01621459.2024.2370355","DOIUrl":"https://doi.org/10.1080/01621459.2024.2370355","url":null,"abstract":"Published in Journal of the American Statistical Association (Just accepted, 2024)","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141435941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Enhanced Response Envelope via Envelope Regularization 通过包络正规化增强响应包络
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-18 DOI: 10.1080/01621459.2024.2368844
Oh-Ran Kwon, Hui Zou
{"title":"Enhanced Response Envelope via Envelope Regularization","authors":"Oh-Ran Kwon, Hui Zou","doi":"10.1080/01621459.2024.2368844","DOIUrl":"https://doi.org/10.1080/01621459.2024.2368844","url":null,"abstract":"The response envelope model provides substantial efficiency gains over the standard multivariate linear regression by identifying the material part of the response to the model and by excluding the...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141425437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Generalized Data Thinning Using Sufficient Statistics 利用充分统计进行广义数据稀释
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-13 DOI: 10.1080/01621459.2024.2353948
Ameer Dharamshi, Anna Neufeld, Keshav Motwani, Lucy L. Gao, Daniela Witten, Jacob Bien
{"title":"Generalized Data Thinning Using Sufficient Statistics","authors":"Ameer Dharamshi, Anna Neufeld, Keshav Motwani, Lucy L. Gao, Daniela Witten, Jacob Bien","doi":"10.1080/01621459.2024.2353948","DOIUrl":"https://doi.org/10.1080/01621459.2024.2353948","url":null,"abstract":"Our goal is to develop a general strategy to decompose a random variable X into multiple independent random variables, without sacrificing any information about unknown parameters. A recent paper s...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141329716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Tyranny-of-the-minority Regression Adjustment in Randomized Experiments 随机实验中的少数服从多数回归调整
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-06-12 DOI: 10.1080/01621459.2024.2366043
Xin Lu, Hanzhong Liu
{"title":"Tyranny-of-the-minority Regression Adjustment in Randomized Experiments","authors":"Xin Lu, Hanzhong Liu","doi":"10.1080/01621459.2024.2366043","DOIUrl":"https://doi.org/10.1080/01621459.2024.2366043","url":null,"abstract":"Abstract–Regression adjustment is widely used in the analysis of randomized experiments to improve the estimation efficiency of the treatment effect. This paper reexamines a weighted regression adj...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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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