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作者:Agresti, Alan
作者单位:State University System of Florida; University of Florida
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作者:Liu, Yan; Wang, Dewei; Li, Li; Li, Dingsheng
作者单位:Nevada System of Higher Education (NSHE); University of Nevada Reno; University of South Carolina System; University of South Carolina Columbia
摘要:The National Health and Nutrition Examination Survey (NHANES) has been continuously biomonitoring Americans' exposure to two families of harmful environmental chemicals: polychlorinated biphenyls (PCBs) and polybrominated diphenyl ethers (PBDEs). However, biomonitoring these chemicals is expensive. To save cost, in 2005, NHANES resorted to pooled biomonitoring; that is, amalgamating individual specimens to form a pool and measuring chemical levels from pools. Despite being publicly available, ...
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作者:Yu, Xiufan; Li, Danning; Xue, Lingzhou; Li, Runze
作者单位:University of Notre Dame; Northeast Normal University - China; Northeast Normal University - China; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要:Power-enhanced tests with high-dimensional data have received growing attention in theoretical and applied statistics in recent years. Existing tests possess their respective high-power regions, and we may lack prior knowledge about the alternatives when testing for a problem of interest in practice. There is a critical need of developing powerful testing procedures against more general alternatives. This article studies the joint test of two-sample mean vectors and covariance matrices for hig...
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作者:Zhang, Jingfei; Li, Yi
作者单位:University of Miami; University of Michigan System; University of Michigan
摘要:Though Gaussian graphical models have been widely used in many scientific fields, relatively limited progress has been made to link graph structures to external covariates. We propose a Gaussian graphical regression model, which regresses both the mean and the precisionmatrix of aGaussian graphical model on covariates. In the context of co-expression quantitative trait locus (QTL) studies, our method can determine how genetic variants and clinical conditions modulate the subject-level network ...
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作者:Wang, Xinhe; Wang, Tingyu; Liu, Hanzhong
作者单位:Tsinghua University; Tsinghua University; Tsinghua University
摘要:Stratification and rerandomization are two well-known methods used in randomized experiments for balancing the baseline covariates. Renowned scholars in experimental design have recommended combining these two methods; however, limited studies have addressed the statistical properties of this combination. This article proposes two rerandomization methods to be used in stratified randomized experiments, based on the overall and stratum-specific Mahalanobis distances. The first method is applica...
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作者:Mies, Fabian
作者单位:RWTH Aachen University
摘要:Tests for structural breaks in time series should ideally be sensitive to breaks in the parameter of interest, while being robust to nuisance changes. Statistical analysis thus needs to allow for some form of nonstationarity under the null hypothesis of no change. In this article, estimators for integrated parameters of locally stationary time series are constructed and a corresponding functional central limit theorem is established, enabling change-point inference for a broad class of paramet...
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作者:Sun, Cheng-Yu; Tang, Boxin
作者单位:Simon Fraser University
摘要:We explore the connections between uniform projection designs and strong orthogonal arrays of strength 2+ in this article. Both of these classes of designs are suitable designs for computer experiments and space-filling in two-dimensional margins, but they are motivated by different considerations. Uniform projection designs are introduced by Sun, Wang, and Xu to capture two-dimensional uniformity using the centered L-2-discrepancy whereas strong orthogonal arrays of strength 2+ are brought fo...
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作者:Krivitsky, Pavel N.; Coletti, Pietro; Hens, Niel
作者单位:University of New South Wales Sydney; University of New South Wales Sydney; Hasselt University; University of Antwerp
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作者:Song, Xiaoyu; Ji, Jiayi; Wang, Pei
作者单位:Icahn School of Medicine at Mount Sinai; Icahn School of Medicine at Mount Sinai; Icahn School of Medicine at Mount Sinai; Icahn School of Medicine at Mount Sinai
摘要:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused over six million deaths in the ongoing COVID-19 pandemic. SARS-CoV-2 uses ACE2 protein to enter human cells, raising a pressing need to characterize proteins/pathways interacted with ACE2. Large-scale proteomic profiling technology is not mature at single-cell resolution to examine the protein activities in disease-relevant cell types. We propose iProMix, a novel statistical framework to identify epithelial-cell specific a...
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作者:Cai, Zhibo; Xia, Yingcun; Hang, Weiqiang
作者单位:National University of Singapore; University of Electronic Science & Technology of China
摘要:Sufficient dimension reduction (SDR) has progressed steadily. However, its ability to improve general function estimation or classification has not been well received, especially for high-dimensional data. In this article, we first devise a local linear smoother for high dimensional nonparametric regression and then utilise it in the outer-product-of-gradient (OPG) approach of SDR. We call the method high-dimensional OPG (HOPG). To apply SDR to classification in high-dimensional data, we propo...