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作者：Saha, Arkajyoti; Basu, Sumanta; Datta, Abhirup
作者单位：Johns Hopkins University; Cornell University
摘要：Spatial linear mixed-models, consisting of a linear covariate effect and a Gaussian process (GP) distributed spatial random effect, are widely used for analyses of geospatial data. We consider the setting where the covariate effect is nonlinear. Random forests (RF) are popular for estimating nonlinear functions but applications of RF for spatial data have often ignored the spatial correlation. We show that this impacts the performance of RF adversely. We propose RF-GLS, a novel and well-princi...
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作者：Xie, Fangzheng; Xu, Yanxun
作者单位：Indiana University System; Indiana University Bloomington; Johns Hopkins University
摘要：We propose a one-step procedure to estimate the latent positions in random dot product graphs efficiently. Unlike the classical spectral-based methods, the proposed one-step procedure takes advantage of both the low-rank structure of the expected adjacency matrix and the Bernoulli likelihood information of the sampling model simultaneously. We show that for each vertex, the corresponding row of the one-step estimator (OSE) converges to a multivariate normal distribution after proper scaling an...
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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
