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Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models 潜高斯过程模型的 Vecchia-Laplace 近似迭代法
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-09 DOI: 10.1080/01621459.2024.2410004
Pascal Kündig, Fabio Sigrist
{"title":"Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models","authors":"Pascal Kündig, Fabio Sigrist","doi":"10.1080/01621459.2024.2410004","DOIUrl":"https://doi.org/10.1080/01621459.2024.2410004","url":null,"abstract":"Latent Gaussian process (GP) models are flexible probabilistic non-parametric function models. Vecchia approximations are accurate approximations for GPs to overcome computational bottlenecks for l...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"10 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142439735","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
Corrections to “Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections” 对 "具有多重对接的拉格朗日框架下的时空交叉协方差函数 "的更正
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-08 DOI: 10.1080/01621459.2024.2412190
{"title":"Corrections to “Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections”","authors":"","doi":"10.1080/01621459.2024.2412190","DOIUrl":"https://doi.org/10.1080/01621459.2024.2412190","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":"13 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142486733","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
Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis 通过子空间因子分析从多个数据源推断协方差结构
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-07 DOI: 10.1080/01621459.2024.2408777
Noirrit Kiran Chandra, David B. Dunson, Jason Xu
{"title":"Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis","authors":"Noirrit Kiran Chandra, David B. Dunson, Jason Xu","doi":"10.1080/01621459.2024.2408777","DOIUrl":"https://doi.org/10.1080/01621459.2024.2408777","url":null,"abstract":"Factor analysis provides a canonical framework for imposing lower-dimensional structure such as sparse covariance in high-dimensional data. High-dimensional data on the same set of variables are of...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"2 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142486889","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
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks 瓦瑟斯坦生成式对抗网络潜空间的自适应学习
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-07 DOI: 10.1080/01621459.2024.2408778
Yixuan Qiu, Qingyi Gao, Xiao Wang
{"title":"Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks","authors":"Yixuan Qiu, Qingyi Gao, Xiao Wang","doi":"10.1080/01621459.2024.2408778","DOIUrl":"https://doi.org/10.1080/01621459.2024.2408778","url":null,"abstract":"Generative models based on latent variables, such as generative adversarial networks (GANs) and variational auto-encoders (VAEs), have gained lots of interests due to their impressive performance i...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"66 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142384088","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
Model-Based Machine Learning 基于模型的机器学习
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-04 DOI: 10.1080/01621459.2024.2411074
Emanuela Furfaro
{"title":"Model-Based Machine Learning","authors":"Emanuela Furfaro","doi":"10.1080/01621459.2024.2411074","DOIUrl":"https://doi.org/10.1080/01621459.2024.2411074","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":"50 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142384089","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
A Sparse Beta Regression Model for Network Analysis 用于网络分析的稀疏贝塔回归模型
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-04 DOI: 10.1080/01621459.2024.2411073
Stefan Stein, Rui Feng, Chenlei Leng
{"title":"A Sparse Beta Regression Model for Network Analysis","authors":"Stefan Stein, Rui Feng, Chenlei Leng","doi":"10.1080/01621459.2024.2411073","DOIUrl":"https://doi.org/10.1080/01621459.2024.2411073","url":null,"abstract":"For statistical analysis of network data, the β -model has emerged as a useful tool, thanks to its flexibility in incorporating nodewise heterogeneity and theoretical tractability. To generalize th...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"52 2 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142556223","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
Spatial modeling and future projection of extreme precipitation extents 极端降水范围的空间建模和未来预测
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-03 DOI: 10.1080/01621459.2024.2408045
Peng Zhong, Manuela Brunner, Thomas Opitz, Raphaël Huser
{"title":"Spatial modeling and future projection of extreme precipitation extents","authors":"Peng Zhong, Manuela Brunner, Thomas Opitz, Raphaël Huser","doi":"10.1080/01621459.2024.2408045","DOIUrl":"https://doi.org/10.1080/01621459.2024.2408045","url":null,"abstract":"Extreme precipitation events with large spatial extents may have more severe impacts than localized events as they can lead to widespread flooding. It is debated how climate change may affect the s...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"18 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142486734","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
Quantification of vaccine waning as a challenge effect 量化疫苗减弱的挑战效应
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-03 DOI: 10.1080/01621459.2024.2408776
Matias Janvin, Mats J. Stensrud
{"title":"Quantification of vaccine waning as a challenge effect","authors":"Matias Janvin, Mats J. Stensrud","doi":"10.1080/01621459.2024.2408776","DOIUrl":"https://doi.org/10.1080/01621459.2024.2408776","url":null,"abstract":"Knowing whether vaccine protection wanes over time is important for health policy and drug development. However, quantifying waning effects is difficult. A simple contrast of vaccine efficacy at tw...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"49 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374034","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
Euclidean mirrors and dynamics in network time series 网络时间序列中的欧氏镜像和动态性
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-01 DOI: 10.1080/01621459.2024.2392912
Avanti Athreya, Zachary Lubberts, Youngser Park, Carey Priebe
{"title":"Euclidean mirrors and dynamics in network time series","authors":"Avanti Athreya, Zachary Lubberts, Youngser Park, Carey Priebe","doi":"10.1080/01621459.2024.2392912","DOIUrl":"https://doi.org/10.1080/01621459.2024.2392912","url":null,"abstract":"Analyzing changes in network evolution is central to statistical network inference. We consider a dynamic network model in which each node has an associated time-varying low-dimensional latent vect...","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"85 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374036","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
Spatial Statistics for Data Science: Theory and Practice with R. 数据科学的空间统计学：使用 R 的理论与实践
IF 3.7 1区 数学
Journal of the American Statistical Association Pub Date : 2024-10-01 DOI: 10.1080/01621459.2024.2406581
Chae Young Lim
{"title":"Spatial Statistics for Data Science: Theory and Practice with R.","authors":"Chae Young Lim","doi":"10.1080/01621459.2024.2406581","DOIUrl":"https://doi.org/10.1080/01621459.2024.2406581","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":"42 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374035","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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