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作者：Duan, Yunshan; Guo, Shuai; Wang, Wenyi; Mueller, Peter
作者单位：University of Texas System; University of Texas Austin; University of Texas System; UTMD Anderson Cancer Center
摘要：Comparison of transcriptomic data across different conditions is of interest in many biomedical studies. In this article, we consider comparative immune cell profiling for early-onset (EO) versus late-onset (LO) colorectal cancer (CRC). EOCRC, diagnosed between ages 18-45, is a rising public health concern that needs to be urgently addressed. However, its etiology remains poorly understood. We work toward filling this gap by identifying homogeneous T cell sub-populations that show significantl...
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作者：Gu, Yu; Zeng, Donglin; Lin, D. Y.
作者单位：University of Hong Kong; University of Michigan System; University of Michigan; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
摘要：In studies of chronic diseases, the health status of a subject can often be characterized by a finite number of transient disease states and an absorbing state, such as death. The times of transitions among the transient states are ascertained through periodic examinations and thus interval-censored. The time of reaching the absorbing state is known or right-censored, with the transient state at the previous instant being unobserved. In this article, we provide a general framework for analyzin...
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作者：Kuusela, Mikael
作者单位：Carnegie Mellon University
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作者：Chen, Liujun; Zhou, Chen
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; Erasmus University Rotterdam; Erasmus University Rotterdam - Excl Erasmus MC
摘要：When applying multivariate extreme value statistics to analyze tail risk in compound events defined by a multivariate random vector, one often assumes that all dimensions share the same extreme value index. While such an assumption can be tested using a Wald-type test, the performance of such a test deteriorates as the dimensionality increases. This article introduces novel tests for comparing extreme value indices in high-dimensional settings, under both weak and general cross-sectional tail ...
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作者：Champon, Xiaoxia; Staicu, Ana-Maria; Weishampel, Anthony; Jayalath, Chathura; Rand, William
作者单位：North Carolina State University; State University System of Florida; University of Central Florida; North Carolina State University
摘要：Social media provides more insight into consumer behavior than companies have ever had, and firms can interact with consumers on social media to increase their brand loyalty and address concerns they might have. However, it is critical for companies to evaluate whether the consumers they interact with have the potential to positively promote the firm. This can be challenging, especially when limited information is available about social media users. Our work proposes a flexible methodology to ...
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作者：Gu, Yuqi; Lyu, Zhongyuan; Wang, Kaizheng
作者单位：Columbia University; Columbia University; University of Sydney
摘要：We propose a general transfer learning framework for clustering given a main dataset and an auxiliary one about the same subjects. The two datasets may reflect similar but different latent grouping structures of the subjects. We propose an adaptive transfer clustering (ATC) algorithm that automatically leverages the commonality in the presence of unknown discrepancy, by optimizing an estimated bias-variance decomposition. It applies to a broad class of statistical models including Gaussian mix...
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作者：Zhang, Dinghuai; Bengio, Yoshua
作者单位：Mila Quebec Artificial Intelligence Institute; Universite de Montreal
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作者：Molstad, Aaron J.; Zhang, Xin
作者单位：University of Minnesota System; University of Minnesota Twin Cities; State University System of Florida; Florida State University
摘要：In many modern regression applications, the response consists of multiple categorical random variables whose probability mass is a function of a common set of predictors. In this article, we propose a new method for modeling such a probability mass function in settings where the number of response variables, the number of categories per response, and the dimension of the predictor are large. Our method relies on a functional probability tensor decomposition: a decomposition of a tensor-valued ...
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作者：Ridgeway, Greg
作者单位：University of Pennsylvania
摘要：This article introduces a conditional ordinal stereotype model for estimating a police officer's latent propensity to escalate to higher-severity force options during an encounter. Propensity to escalate is the likelihood of selecting a more serious force category than peer officers confronting the same circumstances, not necessarily implying that such force is excessive or contrary to policy. The associated conditional likelihood depends solely on data from the times and places where multiple...
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作者：Chen, Yuting; Hirose, Masayo Y.; Lahiri, Partha
作者单位：Eastern Kentucky University; Kyushu University; University System of Maryland; University of Maryland College Park
摘要：We advance parametric bootstrap theory to construct highly efficient empirical best prediction intervals for small area means, achieving a coverage error rate of O(m(-3/2)) , where m is the number of areas modeled by a linear mixed normal model. For a general mixed effect model with random effects from a known but nonnormal distribution (with unknown hyperparameters), we show analytically that the empirical best linear (EBL) prediction interval maintains the same coverage error order, assuming...
