-
作者：Bradley, Jonathan R.; Wikle, Christopher K.; Holan, Scott H.
作者单位：University of Missouri System; University of Missouri Columbia
摘要：We introduce Bayesian spatial change of support (COS) methodology for count-valued survey data with known survey variances. Our proposed methodology is motivated by the American Community Survey (ACS), an ongoing survey administered by the U.S. Census Bureau that provides timely information on several key demographic variables. Specifically, the ACS produces 1-year, 3-year, and 5-year period-estimates, and corresponding margins of errors, for published demographic and socio-economic variables ...
-
作者：Porcu, Emilio; Bevilacqua, Moreno; Genton, Marc G.
作者单位：Universidad Tecnica Federico Santa Maria
摘要：In this article, we propose stationary covariance functions for processes that evolve temporally over a sphere, as well as cross-covariance functions for multivariate random fields defined over a sphere. For such processes, the great circle distance is the natural metric that should be used to describe spatial dependence. Given the mathematical difficulties for the construction of covariance functions for processes defined over spheres cross time, approximations of the state of nature have bee...
-
作者：Yang, Yun; Dunson, David B.
作者单位：Duke University
摘要：In many application areas, data are collected on a categorical response and high-dimensional categorical predictors, with the goals being to build a parsimonious model for classification while doing inferences on the important predictors. In settings such as genomics, there can be complex interactions among the predictors. By using a carefully structured Tucker factorization, we define a model that can characterize any conditional probability, while facilitating variable selection and modeling...
-
作者：Wang, Xinlei; Lim, Johan; Stokes, Lynne
作者单位：Southern Methodist University; Seoul National University (SNU)
摘要：This article examines the use of ranked set sampling (RSS) with cluster randomized designs (CRDs), for potential improvement in estimation and detection of treatment or intervention effects. Outcome data in cluster randomized studies typically have nested structures, where hierarchical linear models (HLMs) become a natural choke for data analysis. However, nearly all theoretical developments in RSS to date are within the structure of one-level models. Thus, implementation of RSS at one or more...
-
作者：Lee, Kyu Ha; Dominici, Francesca; Schrag, Deborah; Haneuse, Sebastien
作者单位：Harvard University; Harvard University Medical Affiliates; Forsyth Institute; Harvard University; Harvard School of Dental Medicine; Harvard University; Harvard T.H. Chan School of Public Health; Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute
摘要：Readmission following discharge from an initial hospitalization is a key marker of quality of healthcare in the United States. For the most part, readmission has been studied among patients with acute health conditions, such as pneumonia and heart failure, with analyses based on a logistic-Normal generalized linear mixed model. Naive application of this model to the study of readmission among patients with advanced health conditions such as pancreatic cancer, however, is problematic because it...
-
作者：Tavakoli, Shahin; Panaretos, Victor M.
作者单位：University of Cambridge; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
摘要：Motivated by the problem of inferring the molecular dynamics of DNA in solution, and linking them with its base-pair composition, we consider the problem of comparing the dynamics of functional time series (FTS), and of localizing any inferred differences in frequency and along curvelength. The approath we take is one of Fourier analysis, where the complete second-order structure of the FTS is encoded by its spectral density operator, indexed by frequency and curvelength. The comparison is bro...
-
作者：Chatterjee, Nilanjan; Chen, Yi-Hau; Maas, Paige; Carroll, Raymond J.
-
作者：Hahn, P. Richard; Murray, Jared S.; Manolopoulou, Ioanna
作者单位：University of Chicago; Carnegie Mellon University; University of London; University College London
摘要：This article describes the use of flexible Bayesian regression models for estimating a partially identified probability function. Our approach permits efficient sensitivity analysis concerning the posterior impact of priors on the partially identified component of the regression model. The new methodology is illustrated on an important problem where only partially observed data are availableinferring the prevalence of accounting misconduct among publicly traded U.S. businesses. Supplementary m...
-
作者：Sun, Xiaoyan; Peng, Limin; Huang, Yijian; Lai, HuiChuan J.
作者单位：Emory University; Rollins School Public Health; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
摘要：In survival analysis, quantile regression has become a useful approach to account for covariate effects on the distribution of an event time of interest. In this article, we discuss how quantile regression can be extended to model counting processes and thus lead to a broader regression framework for survival data. We specifically investigate the proposed modeling of counting processes for recurrent events data. We show that the new recurrent events model retains the desirable features of quan...
-
作者：Chen, Guanhua; Zeng, Donglin; Kosorok, Michael R.
作者单位：Vanderbilt University; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill
