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作者：Zhou, Hua; Li, Lexin; Zhu, Hongtu
作者单位：North Carolina State University; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill
摘要：Classical regression methods treat covariates as a vector and estimate a corresponding vector of regression coefficients. Modem applications in medical imaging generate covariates of more complex form such as multidimensional arrays (tensors). Traditional statistical and computational methods are proving insufficient for analysis of these high-throughput data due to their ultrahigh dimensionality as well as complex structure. In this article, we propose a new family of tensor regression models...
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作者：Robbins, Michael W.; Ghosh, Sujit K.; Habiger, Joshua D.
作者单位：University of Missouri System; University of Missouri Columbia; North Carolina State University; Oklahoma State University System; Oklahoma State University - Stillwater
摘要：In this article, we consider imputation in the USDA's Agricultural Resource Management Survey (ARMS) data, which is a complex, high-dimensional economic dataset. We develop a robust joint model for ARMS data, which requires that variables are transformed using a suitable class of marginal densities (e.g., skew normal family). We assume that the transformed variables may be linked through a Gaussian copula, which enables construction of the joint model via a sequence of conditional linear model...
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作者：Cattaneo, Matias D.; Crump, Richard K.; Jansson, Michael
作者单位：University of Michigan System; University of Michigan; Federal Reserve System - USA; Federal Reserve Bank - New York; University of California System; University of California Berkeley
摘要：With the aim of improving the quality of asymptotic distributional approximations for nonlinear functionals of nonparametric estimators, this article revisits the large-sample properties of an importantmember of that class, namely a kernel-based weighted average derivative estimator. Asymptotic linearity of the estimator is established under weak conditions. Indeed, we show that the bandwidth conditions employed are necessary in some cases. A bias-corrected version of the estimator is proposed...
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作者：Feng, Zhenghui; Wen, Xuerong Meggie; Yu, Zhou; Zhu, Lixing
作者单位：Xiamen University; Xiamen University; University of Missouri System; Missouri University of Science & Technology; East China Normal University; Hong Kong Baptist University
摘要：Partial dimension reduction is a general method to seek informative convex combinations of predictors of primary interest, which includes dimension reduction as its special case when the predictors in the remaining part are constants. In this article, we propose a novel method to conduct partial dimension reduction estimation for predictors of primary interest without assuming that the remaining predictors are categorical. To this end, we first take the dichotomization step such that any exist...
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作者：Dette, Holger
作者单位：Ruhr University Bochum
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作者：Lu, Luo; Jiang, Hui; Wong, Wing H.
作者单位：Stanford University; University of Michigan System; University of Michigan; Stanford University
摘要：Consider a class of densities that are piecewise constant functions over partitions of the sample space defined by sequential coordinate partitioning. We introduce a prior distribution for a density in this function class and derive in closed form the marginal posterior distribution of the corresponding partition. A computationally efficient method, based on sequential importance sampling, is presented for the inference of the partition from this posterior distribution. Compared to traditional...
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作者：Storlie, Curtis B.; Michalak, Sarah E.; Quinn, Heather M.; DuBois, Andrew J.; Wender, Steven A.; DuBois, David H.
作者单位：United States Department of Energy (DOE); Los Alamos National Laboratory; United States Department of Energy (DOE); Los Alamos National Laboratory
摘要：A soft error is an undesired change in an electronic device's state, for example, a bit flip in computer memory, that does not permanently affect its functionality. In microprocessor systems, neutron-induced soft errors can cause crashes and silent data corruption (SDC). SDC occurs when a soft error produces a computational result that is incorrect, without the system issuing a warning or error message. Hence, neutron-induced soft errors are a major concern for high performance computing platf...
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作者：Small, Dylan S.; Cheng, Jing; Halloran, M. Elizabeth; Rosenbaum, Paul R.
作者单位：University of Pennsylvania; University of California System; University of California San Francisco; Fred Hutchinson Cancer Center; University of Washington; University of Washington Seattle
摘要：In a case-referent study, cases of disease are compared to noncases with respect to their antecedent exposure to a treatment in an effort to determine whether exposure causes some cases of the disease. Because exposure is not randomly assigned in the population, as it would be if the population were a vast randomized trial, exposed and unexposed subjects may differ prior to exposure with respect to covariates that may or may not have been measured. After controlling for measured preexposure di...
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作者：Zhang, Xiaoke; Park, Byeong U.; Wang, Jane-Ling
作者单位：University of California System; University of California Davis; Seoul National University (SNU)
摘要：The additive model is an effective dimension-reduction approach that also provides flexibility in modeling the relation between a response variable and key covariates. The literature is largely developed to scalar response and vector covariates. In this article, more complex data are of interest, where both the response and the covariates are functions. We propose a functional additive model together with a new backfitting algorithm to estimate the unknown regression functions, whose component...
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作者：Ip, Edward; Zhang, Qiang; Rejeski, Jack; Harris, Tammy; Kritchevsky, Stephen
作者单位：Wake Forest University; Wake Forest University; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA); Wake Forest University
摘要：At both the individual and societal levels, the health and economic burden of disability in older adults is enormous in developed countries, including the U.S. Recent studies have revealed that the disablement process in older adults often comprises episodic periods of impaired functioning and periods that are relatively free of disability, amid a secular and natural trend of decline in functioning. Rather than an irreversible, progressive event that is analogous to a chronic disease, disabili...
