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作者：Lu, Wenbin; Zhang, Hao Helen
作者单位：North Carolina State University
摘要：We study a general class of partially linear transformation models, which extend linear transformation models by incorporating nonlinear covariate effects in survival data analysis. A new martingale-based estimating equation approach, consisting of both global and kernel-weighted local estimation equations, is developed for estimating the parametric and nonparametric covariate effects in a unified manner. We show that with a proper choice of the kernel bandwidth parameter, one can obtain the c...
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作者：Hooten, Mevin B.; Wikle, Christopher K.
作者单位：Utah System of Higher Education; Utah State University; University of Missouri System; University of Missouri Columbia
摘要：Agent-based models have been used to mimic natural processes in a variety of fields. from biology to social science By specifying mechanistic models that describe how small-scale processes hi net and then scaling them up. agent-based approaches can result in very complicated large-scale behavior while often relying on only a small set of initial conditions and intuitive rules Although many agent-based models are used strictly la a Simulation context. statistical implementations are less common...
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作者：Yang, Yang; Halloran, M. Elizabeth; Daniels, Michael J.; Longini, Ira M., Jr.; Burke, Donald S.; Cummings, Derek A. T.
作者单位：Fred Hutchinson Cancer Center; University of Washington; University of Washington Seattle; State University System of Florida; University of Florida; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Johns Hopkins University
摘要：In seasonal influenza epidemics, pathogens such as respiratory syncytial virus (RSV) often cocirculate with influenza and cause influenza-like illness (ILL) in human hosts. However, it is often impractical to test for each potential pathogen or to collect specimens for each observed ILI episode, making inference about influenza transmission difficult. In the setting of infectious diseases, missing outcomes impose a particular challenge because of the dependence among individuals. We propose a ...
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作者：Lee, Ann B.; Wasserman, Larry
作者单位：Carnegie Mellon University
摘要：Spectral kernel methods are techniques or mapping data into a coordinate system that efficiently reveals the geometric structure-in particular, the connectivity-of the data. These methods depend on tuning parameters. We analyze the dependence of the method on these tuning parameters. We focus on one particular technique-diffusion maps-but our analysis can be used for other spectral methods as well. We identify the key population quantities, we define an appropriate risk function for analyzing ...
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作者：Wahl, Eugene; Schoelzel, Christian; Williams, John; Tigrek, Seyitriza
作者单位：National Oceanic Atmospheric Admin (NOAA) - USA; University of Bonn; University of Wisconsin System; University of Wisconsin Madison; University of Colorado System; University of Colorado Boulder
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作者：Chan, Yao-ban; Hall, Peter
作者单位：University of Melbourne
摘要：In this paper we develop a nonparametric approach to clustering very high-dimensional data, designed particularly for problems where the mixture nature of a population is expressed through multimodality of its density. Therefore, a technique based implicitly on mode testing can be particularly effective. In principle, several alternative approaches could be used to assess the extent of multimodality, but in the present problem the excess mass method has important advantages. We show that the r...
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作者：Krivobokova, Tatyana; Kneib, Thomas; Claeskens, Gerda
作者单位：University of Gottingen; University of Gottingen; Carl von Ossietzky Universitat Oldenburg; KU Leuven; KU Leuven
摘要：In this article we construct simultaneous confidence bands for a smooth curve using penalized spline estimators. We consider three types of estimation methods: (a) as a standard (fixed effect) nonparametric model, (b) using the mixed-model framework with the spline coefficients as random effects, and (c) a full Bayesian approach. The volume-of-tube formula is applied for the first two methods and compared with Bayesian simultaneous confidence bands from a frequentist perspective. We show that ...
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作者：Smith, Michael; Min, Aleksey; Almeida, Carlos; Czado, Claudia
作者单位：University of Melbourne; Technical University of Munich
摘要：Copulas have proven to be very successful tools for the flexible modeling of cross-sectional dependence. In this paper we express the dependence structure of continuous-valued time series data using a sequence of bivariate copulas. This corresponds to a type of decomposition recently called a vine in the graphical models literature, where each copula is entitled a pair-copula. We propose a Bayesian approach for the estimation of this dependence structure for longitudinal data. Bayesian selecti...
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作者：Spirling, Arthur; Quinn, Kevin
作者单位：Harvard University; University of California System; University of California Berkeley
摘要：Legislative voting records are an important source of information about legislator preferences, intraparty cohesiveness, and the divisiveness of various policy issues. Standard methods of analyzing a legislative voting record tend to have serious drawbacks when applied to legislatures, such as the United Kingdom House of Commons, that feature highly disciplined parties, strategic voting, and large amounts of missing data. We present a method (based on a Dirichlet process mixture model) for ana...
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作者：Liang, Kun; Nettleton, Dan
作者单位：Iowa State University
摘要：Gene category testing problems involve testing hundreds of null hypotheses that correspond to nodes in a directed acyclic graph. The logical relationships among the nodes in the graph imply that only some configurations of true and false null hypotheses are possible and that a test for a given node should depend on data from neighboring nodes. We developed a method based on a hidden Markov model that takes the whole graph into account and provides coherent decisions in this structured multiple...
