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Optimal Network Membership Estimation under Severe Degree Heterogeneity 严重程度异质性下的最优网络成员估计
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-08-13 DOI: 10.1080/01621459.2024.2388903
Zheng Tracy Ke, Jingming Wang
{"title":"Optimal Network Membership Estimation under Severe Degree Heterogeneity","authors":"Zheng Tracy Ke, Jingming Wang","doi":"10.1080/01621459.2024.2388903","DOIUrl":"https://doi.org/10.1080/01621459.2024.2388903","url":null,"abstract":"Real networks often have severe degree heterogeneity, with maximum, average, and minimum node degrees differing significantly. This paper examines the impact of degree heterogeneity on statistical ...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"14 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141986515","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 of Cell-type Proportions Estimated from Bulk Expression Data 从大量表达数据估算细胞类型比例的统计推断
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-07-23 DOI: 10.1080/01621459.2024.2382435
Biao Cai, Emma Jingfei Zhang, Hongyu Li, Chang Su, Hongyu Zhao
{"title":"Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data","authors":"Biao Cai, Emma Jingfei Zhang, Hongyu Li, Chang Su, Hongyu Zhao","doi":"10.1080/01621459.2024.2382435","DOIUrl":"https://doi.org/10.1080/01621459.2024.2382435","url":null,"abstract":"There is a growing interest in cell-type-specific analysis from bulk samples with a mixture of different cell types. A critical first step in such analyses is the accurate estimation of cell-type p...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"10 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141764411","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
Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models* 非随机缺失时的矩阵补全及其在因果面板数据模型中的应用*
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-07-17 DOI: 10.1080/01621459.2024.2380105
Jungjun Choi, Ming Yuan
{"title":"Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models*","authors":"Jungjun Choi, Ming Yuan","doi":"10.1080/01621459.2024.2380105","DOIUrl":"https://doi.org/10.1080/01621459.2024.2380105","url":null,"abstract":"This paper develops an inferential framework for matrix completion when missing is not at random and without the requirement of strong signals. Our development is based on the observation that if t...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"47-48 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141730625","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
Controlling the False Split Rate in Tree-Based Aggregation 控制树状聚合中的误分率
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-07-09 DOI: 10.1080/01621459.2024.2376285
Simeng Shao, Jacob Bien, Adel Javanmard
{"title":"Controlling the False Split Rate in Tree-Based Aggregation","authors":"Simeng Shao, Jacob Bien, Adel Javanmard","doi":"10.1080/01621459.2024.2376285","DOIUrl":"https://doi.org/10.1080/01621459.2024.2376285","url":null,"abstract":"In many domains, data measurements can naturally be associated with the leaves of a tree, expressing the relationships among these measurements. For example, companies belong to industries, which i...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"38 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141602711","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 Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests 高维数据的稀疏图形建模：条件独立性检验范例
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-07-08 DOI: 10.1080/01621459.2024.2375035
Reza Mohammadi
{"title":"Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests","authors":"Reza Mohammadi","doi":"10.1080/01621459.2024.2375035","DOIUrl":"https://doi.org/10.1080/01621459.2024.2375035","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":"78 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141597507","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
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":"54 1","pages":""},"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":"71 1","pages":""},"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":"28 1","pages":""},"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":"1 1","pages":""},"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":"40 1","pages":""},"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
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