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作者：Laga, Ian; Niu, Xiaoyue
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
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作者：Su, Lin; Lu, Wenbin; Song, Rui; Huang, Danyang
作者单位：North Carolina State University
摘要：Nowadays, events are spread rapidly along social networks. We are interested in whether people's responses to an event are affected by their friends' characteristics. For example, how soon will a person start playing a game given that his/her friends like it? Studying social network dependence is an emerging research area. In this work, we propose a novel latent spatial autocorrelation Cox model to study social network dependence with time-to-event data. The proposed model introduces a latent ...
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作者：Chen, Yen-Chi
作者单位：University of Washington; University of Washington Seattle
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作者：Henderson, Robin; Makarenko, Irina; Bushby, Paul; Fletcher, Andrew; Shukurov, Anvar
作者单位：Newcastle University - UK
摘要：We use topological methods to investigate the small-scale variation and local spatial characteristics of the interstellar medium (ISM) in three regions of the southern sky. We demonstrate that there are circumstances where topological methods can identify differences in distributions when conventional marginal or correlation analyses may not. We propose a nonparametric method for comparing two fields based on the counts of topological features and the geometry of the associated persistence dia...
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作者：Efron, Bradley
作者单位：Stanford University
摘要：The scientific needs and computational limitations of the twentieth century fashioned classical statistical methodology. Both the needs and limitations have changed in the twenty-first, and so has the methodology. Large-scale prediction algorithms-neural nets, deep learning, boosting, support vector machines, random forests-have achieved star status in the popular press. They are recognizable as heirs to the regression tradition, but ones carried out at enormous scale and on titanic datasets. ...
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作者：Kafadar, Karen
作者单位：University of Virginia
摘要：What does statistics have to offer science and society, in this age of massive data, machine learning algorithms, and multiple online sources of tools for data analysis? I recall a few situations where statistics made a real difference and reinforced the impact of our discipline on society. Sometimes the difference lay in the insightful analysis and inference enabled by ground-breaking methods in our field like hypothesis testing, likelihood ratios, Bayesian models, jackknife, and bootstrap. B...
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作者：Sung, Chih-Li; Hung, Ying; Rittase, William; Zhu, Cheng; Wu, C. F. Jeff
作者单位：Michigan State University; Rutgers University System; Rutgers University New Brunswick; University System of Georgia; Georgia Institute of Technology; University System of Georgia; Georgia Institute of Technology
摘要：Non-Gaussian observations such as binary responses are common in some computer experiments. Motivated by the analysis of a class of cell adhesion experiments, we introduce a generalized Gaussian process model for binary responses, which shares some common features with standard GP models. In addition, the proposed model incorporates a flexible mean function that can capture different types of time series structures. Asymptotic properties of the estimators are derived, and an optimal predictor ...
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作者：Swanson, S. A.; Hernan, M. A.; Miller, M.; Robins, J. M.; Richardson, T. S.
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作者：Grantham, Neal S.; Guan, Yawen; Reich, Brian J.; Borer, Elizabeth T.; Gross, Kevin
作者单位：North Carolina State University; University of Minnesota System; University of Minnesota Twin Cities
摘要：Recent advances in bioinformatics have made high-throughput microbiome data widely available, and new statistical tools are required to maximize the information gained from these data. For example, analysis of high-dimensional microbiome data from designed experiments remains an open area in microbiome research. Contemporary analyses work on metrics that summarize collective properties of the microbiome, but such reductions preclude inference on the fine-scale effects of environmental stimuli ...
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作者：Bacro, Jean-Noel; Gaetan, Carlo; Opitz, Thomas; Toulemonde, Gwladys
作者单位：Universite de Montpellier; Centre National de la Recherche Scientifique (CNRS); Universita Ca Foscari Venezia; INRAE; Universite de Montpellier; Centre National de la Recherche Scientifique (CNRS); Inria
摘要：The statistical modeling of space-time extremes in environmental applications is key to understanding complex dependence structures in original event data and to generating realistic scenarios for impact models. In this context of high-dimensional data, we propose a novel hierarchical model for high threshold exceedances defined over continuous space and time by embedding a space-time Gamma process convolution for the rate of an exponential variable, leading to asymptotic independence in space...
