Pub Date : 2024-10-09DOI: 10.1080/01621459.2024.2410004
Pascal Kündig, Fabio Sigrist
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...
潜在高斯过程（GP）模型是一种灵活的概率非参数函数模型。Vecchia 近似值是 GP 的精确近似值，可克服计算瓶颈，用于计算潜在高斯过程模型。
{"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}
Pub Date : 2024-10-08DOI: 10.1080/01621459.2024.2412190
Published in Journal of the American Statistical Association (Just accepted, 2024)
发表于《美国统计协会期刊》（刚刚接受，2024 年）
{"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}
Pub Date : 2024-10-07DOI: 10.1080/01621459.2024.2408777
Noirrit Kiran Chandra, David B. Dunson, Jason Xu
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...
{"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}
Pub Date : 2024-10-07DOI: 10.1080/01621459.2024.2408778
Yixuan Qiu, Qingyi Gao, Xiao Wang
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...
{"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}
Pub Date : 2024-10-04DOI: 10.1080/01621459.2024.2411074
Emanuela Furfaro
Published in Journal of the American Statistical Association (Just accepted, 2024)
发表于《美国统计协会期刊》（刚刚接受，2024 年）
{"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}
Pub Date : 2024-10-04DOI: 10.1080/01621459.2024.2411073
Stefan Stein, Rui Feng, Chenlei Leng
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...
{"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}
Pub Date : 2024-10-03DOI: 10.1080/01621459.2024.2408045
Peng Zhong, Manuela Brunner, Thomas Opitz, Raphaël Huser
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...
{"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}
Pub Date : 2024-10-03DOI: 10.1080/01621459.2024.2408776
Matias Janvin, Mats J. Stensrud
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...
{"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}
Pub Date : 2024-10-01DOI: 10.1080/01621459.2024.2392912
Avanti Athreya, Zachary Lubberts, Youngser Park, Carey Priebe
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...
{"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}
Pub Date : 2024-10-01DOI: 10.1080/01621459.2024.2406581
Chae Young Lim
Published in Journal of the American Statistical Association (Just accepted, 2024)
发表于《美国统计协会期刊》（刚刚接受，2024 年）
{"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}
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