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作者:Aue, Alexander
作者单位:University of California System; University of California Davis
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作者:Athreya, Avanti; Lubberts, Zachary; Park, Youngser; Priebe, Carey
作者单位:Johns Hopkins University; University of Virginia; Johns Hopkins University
摘要: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 vector of feature data, and connection probabilities are functions of these vectors. Under mild assumptions, the evolution of latent vectors exhibits low-dimensional manifold structure under a suitable distance. This distance can be approximated by a measure of separation between the observed networks th...
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作者:Ohnishi, Yuki; Karmakar, Bikram; Kar, Wreetabrata
作者单位:Yale University; State University System of Florida; University of Florida; State University of New York (SUNY) System; University at Albany, SUNY; University at Buffalo, SUNY
摘要:Organizations are increasingly relying on digital communications, such as targeted e-mails and mobile notifications, to engage with their audiences. Despite the evident advantages like cost-effectiveness and customization, assessing the effectiveness of such communications from observational data poses various statistical challenges. An immediate challenge is to adjust for targeting rules used in these communications. When digital communications involve a sequence of e-mails or notifications, ...
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作者:Bertolacci, Michael; Zammit-Mangion, Andrew; Giraldo, Juan Valderrama; O'Neill, Michael; Bransby, Fraser; Watson, Phil
作者单位:University of Western Australia; University of Wollongong; University of Western Australia
摘要:For offshore structures like wind turbines, subsea infrastructure, pipelines, and cables, it is crucial to quantify the properties of the seabed sediments at a proposed site. However, data collection offshore is costly, so analysis of the seabed sediments must be made from measurements that are spatially sparse. Adding to this challenge, the structure of the seabed sediments exhibits both nonstationarity and anisotropy. To address these issues, we propose GeoWarp, a hierarchical spatial statis...
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作者:Gu, Mengyang
作者单位:University of California System; University of California Santa Barbara
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作者:Lee, Jaeyong
作者单位:Seoul National University (SNU)
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作者:Xu, Shirong; Sun, Will Wei; Cheng, Guang
作者单位:University of California System; University of California Los Angeles; Purdue University System; Purdue University
摘要:In various real-world scenarios, such as recommender systems and political surveys, pairwise rankings are commonly collected and used for rank aggregation to derive an overall ranking of items. However, preference rankings can reveal individuals' personal preferences, highlighting the need to protect them from exposure in downstream analysis. In this article, we address the challenge of preserving privacy while ensuring the utility of rank aggregation based on pairwise rankings generated from ...
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作者:Ye, Ting; Chen, Kan; Small, Dylan
作者单位:University of Washington; University of Washington Seattle; Harvard University; University of Pennsylvania
摘要:Does having firearms in the home increase suicide risk? To test this hypothesis, a matched case-control study can be performed, in which suicide case subjects are compared to living controls who are similar in observed covariates in terms of their retrospective exposure to firearms at home. In this application, cases can be defined using a broad case definition (suicide) or a narrow case definition (suicide occurred at home). The broad case definition offers a larger number of cases, but the n...
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作者:Zhang, Shuangjie; Shen, Yuning; Chen, Irene A.; Lee, Juhee
作者单位:University of California System; University of California Santa Cruz; University of California System; University of California Los Angeles
摘要:Group factor models have been developed to infer relationships between multiple co-occurring multivariate continuous responses. Motivated by complex count data from multi-domain microbiome studies using next-generation sequencing, we develop a sparse Bayesian group factor model (Sp-BGFM) for multiple count table data that captures the interaction between microorganisms in different domains. Sp-BGFM uses a rounded kernel mixture model using a Dirichlet process (DP) prior with log-normal mixture...