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作者：Han, Yuefeng; Chen, Rong; Zhang, Cun-Hui; Yao, Qiwei
作者单位：University of Notre Dame; Rutgers University System; Rutgers University New Brunswick; University of London; London School Economics & Political Science
摘要：We propose a contemporaneous bilinear transformation for a p x q matrix time series to alleviate the difficulties in modeling and forecasting matrix time series when p and/or q are large. The resulting transformed matrix assumes a block structure consisting of several small matrices, and those small matrix series are uncorrelated across all times. Hence, an overall parsimonious model is achieved by modeling each of those small matrix series separately without the loss of information on the lin...
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作者：Zhang, Cong; Bedi, Tejasv; Moon, Chul; Xie, Yang; Chen, Min; Li, Qiwei
作者单位：University of Texas System; University of Texas Dallas; Southern Methodist University; University of Texas System; University of Texas Southwestern Medical Center
摘要：Medical imaging is a form of technology that has revolutionized the medical field over the past decades. Digital pathology imaging, which captures histological details at the cellular level, is rapidly becoming a routine clinical procedure for cancer diagnosis support and treatment planning. Recent developments in deep-learning methods have facilitated tumor region segmentation from pathology images. The traditional shape descriptors that characterize tumor boundary roughness at the anatomical...
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作者：Liu, Xiaohui; Long, Wei; Peng, Liang; Yang, Bingduo
作者单位：Jiangxi University of Finance & Economics; Jiangxi University of Finance & Economics; Tulane University; University System of Georgia; Georgia State University; Guangdong University of Finance & Economics
摘要：The asymptotic behavior of quantile regression inference becomes dramatically different when it involves a persistent predictor with zero or nonzero intercept. Distinguishing various properties of a predictor is empirically challenging. In this article, we develop a unified predictability test for quantile regression regardless of the presence of intercept and persistence of a predictor. The developed test is a novel combination of data splitting, weighted inference, and a random weighted boot...
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作者：Trippe, Brian L.; Deshpande, Sameer K.; Broderick, Tamara
作者单位：Columbia University; University of Wisconsin System; University of Wisconsin Madison; Massachusetts Institute of Technology (MIT)
摘要：Modern statistics provides an ever-expanding toolkit for estimating unknown parameters. Consequently, applied statisticians frequently face a difficult decision: retain a parameter estimate from a familiar method or replace it with an estimate from a newer or more complex one. While it is traditional to compare estimates using risk, such comparisons are rarely conclusive in realistic settings. In response, we propose the c-value as a measure of confidence that a new estimate achieves smaller l...
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作者：Schultheiss, Christoph; Buhlmann, Peter; Yuan, Ming
作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich; Columbia University
摘要：We introduce a simple diagnostic test for assessing the overall or partial goodness of fit of a linear causal model with errors being independent of the covariates. In particular, we consider situations where hidden confounding is potentially present. We develop a method and discuss its capability to distinguish between covariates that are confounded with the response by latent variables and those that are not. Thus, we provide a test and methodology for partial goodness of fit. The test is ba...
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作者：Cho, Sungho; Jeon, Jeong Min; Kim, Dongwoo; Yu, Kyusang; Park, Byeong U. U.
作者单位：Seoul National University (SNU); KU Leuven; University of Namur; Konkuk University
摘要：In this article we develop semiparametric regression techniques for fitting partially linear additive models. The methods are for a general Hilbert-space-valued response. They use a powerful technique of additive regression in profiling out the additive nonparametric components of the models, which necessarily involves additive regression of the nonadditive effects of covariates. We show that the estimators of the parametric components are root n-consistent and asymptotically Gaussian under we...
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作者：Wang, Shiying; Constable, Todd; Zhang, Heping; Zhao, Yize
作者单位：Yale University; Yale University
摘要：Brain functional connectivity or connectome, a unique measure for brain functional organization, provides a great potential to explain the neurobiological underpinning of behavioral profiles. Existing connectome-based analyses highly concentrate on brain activities under a single cognitive state, and fail to consider heterogeneity when attempting to characterize brain-to-behavior relationships. In this work, we study the complex impact of multi-state functional connectivity on behaviors by ana...
