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作者：Lu, Tao; Liang, Hua; Li, Hongzhe; Wu, Hulin
作者单位：University of Rochester; University of Pennsylvania
摘要：Gene regulation is a complicated process. The interaction of many genes and their products forms an intricate biological network. Identification of this dynamic network will help us understand the biological processes in a systematic way. However, the construction of a dynamic network is very challenging for a high-dimensional system. In this article we propose to use a set of ordinary differential equations (ODE), coupled with dimensional reduction by clustering and mixed-effects modeling tec...
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作者：Chen, Aiyou; Cao, Jin; Shepp, Larry; Tuan Nguyen
作者单位：Alphabet Inc.; Google Incorporated; Rutgers University System; Rutgers University New Brunswick
摘要：Counting the number of distinct elements (cardinality) in a dataset is a fundamental problem in database management. In recent years, there has been significant interest to address the distinct counting problem in a data stream setting, where each incoming data can be seen only once and cannot be stored for long periods of time. Many probabilistic approaches based on either sampling or sketching have been proposed in the computer science literature that only require limited computing and memor...
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作者：Gneiting, Tilmann
作者单位：Ruprecht Karls University Heidelberg
摘要：Typically, point forecasting methods are compared and assessed by means of an error measure or scoring function, with the absolute error and the squared error being key examples. The individual scores are averaged over forecast cases, to result in a summary measure of the predictive performance, such as the mean absolute error or the mean squared error. I demonstrate that this common practice can lead to grossly misguided inferences, unless the scoring function and the forecasting task are car...
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作者：Hans, Chris
作者单位：University System of Ohio; Ohio State University
摘要：The elastic net procedure is a form of regularized optimization for linear regression that provides a bridge between ridge regression and the lasso. The estimate that it produces can be viewed as a Bayesian posterior mode under a prior distribution implied by the form of the elastic net penalty. This article broadens the scope of the Bayesian connection by providing a complete characterization of a class of prior distributions that generate the elastic net estimate as the posterior mode. The r...
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作者：Huang, Lan; Zalkikar, Jyoti; Tiwari, Ram C.
作者单位：US Food & Drug Administration (FDA); US Food & Drug Administration (FDA)
摘要：Several statistical methods that are available in the literature to analyze postmarket safety databases, such as the U.S. Federal Drug Administration's (FDA) adverse event reporting system (AERS), for identifying drug-event combinations with disproportionately high frequencies, are subject to high false discovery rates. Here, we propose a likelihood ratio test (LRT) based method and show, via an extensive simulation study, that the proposed method while retaining good power and sensitivity for...
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作者：Faes, C.; Ormerod, J. T.; Wand, M. P.
作者单位：Hasselt University; University of Sydney; University of Technology Sydney
摘要：Bayesian hierarchical models are attractive structures for conducting regression analyses when the data are subject to missingness. However, the requisite probability calculus is challenging and Monte Carlo methods typically are employed. We develop an alternative approach based on deterministic variational Bayes approximations. Both parametric and nonparametric regression are considered. Attention is restricted to the more challenging case of missing predictor data. We demonstrate that variat...
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作者：Bhadra, Anindya; Ionides, Edward L.; Laneri, Karina; Pascual, Mercedes; Bouma, Menno; Dhiman, Ramesh C.
作者单位：University of Michigan System; University of Michigan; University of Michigan System; University of Michigan; Howard Hughes Medical Institute; University of London; London School of Hygiene & Tropical Medicine; Indian Council of Medical Research (ICMR); ICMR - National Institute of Malaria Research (NIMR)
摘要：Many biological systems are appropriately described by partially observed Markov process (POMP) models, also known as state space models. Such models also arise throughout the physical and social sciences, in engineering, and in finance. Statistical challenges arise in carrying out inference on nonlinear, nonstationary, vector-valued POMP models. Methodologies that depend on the Markov process model only through numerical solution of sample paths are said to have the plug-and-play property. Th...
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作者：Cruz-Marcelo, Alejandro; Ensor, Katherine B.; Rosner, Gary L.
作者单位：Capital One Financial Corporation; Rice University; Johns Hopkins University; Johns Hopkins University
摘要：The term structure of interest rates is used to price defaultable bonds and credit derivatives, as well as to infer the quality of bonds for risk management purposes. We introduce a model that jointly estimates term structures by means of a Bayesian hierarchical model with a prior probability model based on Dirichlet process mixtures. The modeling methodology borrows strength across term structures for purposes of estimation. The main advantage of our framework is its ability to produce reliab...
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作者：Gutman, Roee; DeDe, Gayle; Caplan, David; Liu, Jun S.
作者单位：Brown University; University of Arizona; Harvard University; Harvard University Medical Affiliates; Massachusetts General Hospital; Harvard University
摘要：Aphasia is the loss of the ability to produce and/or comprehend language, due to injury to brain areas responsible for these functions. Aphasic patients' performance on comprehension tests has traditionally been related both to the patient's individual ability and to the difficulty of the test questions. The natural choice for analysis of these test results is the Rasch model. It assumes that the probability of a patient responding correctly to a question is the inverse-logit function of the d...
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作者：Buehlmann, Peter
作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich
