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作者：Malinsky, Daniel; Shpitser, Ilya; Tchetgen, Eric J. Tchetgen
作者单位：Columbia University; Johns Hopkins University; University of Pennsylvania
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作者：Liu, Jianyu; Wang, Haodong; Sun, Wei; Liu, Yufeng
作者单位：University of North Carolina; University of North Carolina Chapel Hill; Fred Hutchinson Cancer Center; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill
摘要：Hundreds of autism risk genes have been reported recently, mainly based on genetic studies where these risk genes have more de novo mutations in autism subjects than healthy controls. However, as a complex disease, autism is likely associated with more risk genes and many of them may not be identifiable through de novo mutations. We hypothesize that more autism risk genes can be identified through their connections with known autism risk genes in personalized gene-gene interaction graphs. We e...
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作者：Du, Lilun; Hu, Inchi
作者单位：Hong Kong University of Science & Technology
摘要：In a thought-provoking paper, Efron investigated the merit and limitation of an empirical Bayes method to correct selection bias based on Tweedie's formula first reported in the study by Robbins. The exceptional virtue of Tweedie's formula for the normal distribution lies in its representation of selection bias as a simple function of the derivative of log marginal likelihood. Since the marginal likelihood and its derivative can be estimated from the data directly without invoking prior inform...
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作者：Liu, Wanjun; Ke, Yuan; Liu, Jingyuan; Li, Runze
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; University System of Georgia; University of Georgia; Xiamen University; Xiamen University
摘要：This article proposes a model-free and data-adaptive feature screening method for ultrahigh-dimensional data. The proposed method is based on the projection correlation which measures the dependence between two random vectors. This projection correlation based method does not require specifying a regression model, and applies to data in the presence of heavy tails and multivariate responses. It enjoys both sure screening and rank consistency properties under weak assumptions. A two-step approa...
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作者：Dai, James Y.; Stanford, Janet L.; LeBlanc, Michael
作者单位：Fred Hutchinson Cancer Center; University of Washington; University of Washington Seattle
摘要：Mediation analysis is of rising interest in epidemiologic studies and clinical trials. Among existing methods, the joint significance test yields an overly conservative Type I error rate and low power, particularly for high-dimensional mediation hypotheses. In this article, we develop a multiple-testing procedure that accurately controls the family-wise error rate (FWER) and the false discovery rate (FDR) when testing high-dimensional mediation hypotheses. The core of our procedure is based on...
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作者：Bai, Ray; Moran, Gemma E.; Antonelli, Joseph L.; Chen, Yong; Boland, Mary R.
作者单位：University of South Carolina System; University of South Carolina Columbia; Columbia University; State University System of Florida; University of Florida; University of Pennsylvania
摘要：We introduce the spike-and-slab group lasso (SSGL) for Bayesian estimation and variable selection in linear regression with grouped variables. We further extend the SSGL to sparse generalized additive models (GAMs), thereby introducing the first nonparametric variant of the spike-and-slab lasso methodology. Our model simultaneously performs group selection and estimation, while our fully Bayes treatment of the mixture proportion allows for model complexity control and automatic self-adaptivity...
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作者：Wang, Yaping; Sun, Fasheng; Xu, Hongquan
作者单位：East China Normal University; Northeast Normal University - China; Northeast Normal University - China; University of California System; University of California Los Angeles
摘要：Space-filling designs are widely used in both computer and physical experiments. Column-orthogonality, maximin distance, and projection uniformity are three basic and popular space-filling criteria proposed from different perspectives, but their relationships have been rarely investigated. We show that the average squared correlation metric is a function of the pairwiseL(2)-distances between the rows only. We further explore the connection between uniform projection designs and maximinL(1)-dis...
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作者：Yun, Sooin; Zhang, Xianyang; Li, Bo
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; Texas A&M University System; Texas A&M University College Station
摘要：Comparing the spatial characteristics of spatiotemporal random fields is often at demand. However, the comparison can be challenging due to the high-dimensional feature and dependency in the data. We develop a new multiple testing approach to detect local differences in the spatial characteristics of two spatiotemporal random fields by taking the spatial information into account. Our method adopts a two-component mixture model for location wisep-values and then derives a new false discovery ra...
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作者：James, Gareth M.; Radchenko, Peter; Rava, Bradley
作者单位：University of Southern California; University of Sydney
摘要：We consider the common setting where one observes probability estimates for a large number of events, such as default risks for numerous bonds. Unfortunately, even with unbiased estimates, selecting events corresponding to the most extreme probabilities can result in systematically underestimating the true level of uncertainty. We develop an empirical Bayes approach excess certainty adjusted probabilities (ECAP), using a variant of Tweedie's formula, which updates probability estimates to corr...
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作者：Choe, Youngjun
作者单位：University of Washington; University of Washington Seattle
