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作者：Gill, Jeff; Casella, George
作者单位：Washington University (WUSTL); State University System of Florida; University of Florida
摘要：A generalized linear mixed model, ordered probit, is used to estimate levels of stress in presidential political appointees as a means of understanding their surprisingly short tenures. A Bayesian approach is developed, where the random effects are modeled with a Dirichlet process mixture prior, allowing for useful incorporation of prior information, but retaining some vagueness in the form of the prior. Applications of Bayesian models in the social sciences are typically done with uninformati...
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作者：Rios Insua, Insua; Rios, Jesus; Banks, David
作者单位：Universidad Rey Juan Carlos; Duke University
摘要：Applications in counterterrorism and corporate competition have led to the development of new methods for the analysis of decision making when there are intelligent opponents and uncertain outcomes. This field represents a combination of statistical risk analysis and game theory, and is sometimes called adversarial risk analysis. In this article, we describe several formulations of adversarial risk problems, and provide a framework that extends traditional risk analysis' tools, such as influen...
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作者：O'Sullivan, Finbarr; Muzi, Mark; Spence, Alexander M.; Mankoff, David M.; O'Sullivan, Janet N.; Fitzgerald, Niall; Newman, George C.; Krohn, Kenneth A.
作者单位：University College Cork; University of Washington; University of Washington Seattle; Yeshiva University
摘要：Kinetic analysis is used to extract metabolic information from dynamic positron emission tomography (PET) uptake data. The theory of indicator dilutions, developed in the seminal work of Meier and Zierler (1954), provides a probabilistic framework for representation of PET tracer uptake data in terms of a convolution between an arterial input function and a tissue residue. The residue is a scaled Survival function associated with tracer residence in the tissue. Nonparametric inference for the ...
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作者：Love, Tanzy; Carriquiry, Alicia
作者单位：Iowa State University; Pontificia Universidad Catolica de Chile
摘要：We analyze data collected in a somatic embryogenesis experiment carried out on Zea mays at Iowa state university. The main objective of the Study was to identify the set of genes in maize that actively participate in embryo development. Embryo tissue was sampled and analyzed at various time periods and under different mediums and light conditions. As is the case in many microarray experiments. the operator scanned each Slide multiple times to find the slide-specific 'optimal' laser and sensor ...
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作者：Ghosh, Pulak; Tu, Wanzhu
作者单位：University System of Georgia; Georgia State University; Indiana University System; Indiana University Indianapolis; Regenstrief Institute Inc
摘要：Understanding human sexual behaviors is essential for the effective prevention of sexually transmitted infections (STI). Analysis of longitudinally measured sexual behavioral data, however, is often complicated by zero-inflation of event counts, nonlinear time trend, time-varying covariates, and informative dropouts. Ignoring these complicating factors could undermine the validity of the study findings. In this article, we put forth a unified joint modeling structure that accommodates these fe...
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作者：Lopez-Pintado, Sara; Romo, Juan
作者单位：Universidad Pablo de Olavide; Universidad Carlos III de Madrid
摘要：The statistical analysis of functional data is a growing need in many research areas. In particular, a robust methodology is important to study curves, which are the output of many experiments in applied statistics. As a starting point for this robust analysis. we propose, analyze. and apply a new definition of depth for functional based on the graphic observations based presentation of the curves. Given a collection of functions. it establishes the centrality of an observation and provides a ...
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作者：Hu, Jianhua; Joshi, Adarsh; Johnson, Valen E.
作者单位：University of Texas System; UTMD Anderson Cancer Center; Texas A&M University System; Texas A&M University College Station
摘要：We describe a class of log-linear models for the detection of interactions in high-dimensional genomic data. This class of models leads to a Bayesian model selection algorithm that can be applied to data that have been reduced to contingency tables using ranks of observations within subjects, and discretization of these ranks within gene/network components. Many normalization issues associated with the analysis of genomic data are thereby avoided. A prior density based on Ewens' sampling distr...
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作者：Teng, Siew Leng; Huang, Haiyan
作者单位：University of California System; University of California Berkeley; University of California System; University of California Berkeley
摘要：A major task in understanding biological processes is to elucidate the relationships between genes involved in the underlying biological pathways. Microarray data from all increasing number of biologically interrelated experiments now allows for more complete portrayals of functional gene relationships in the pathways. In current studies of gene relationships, the presence of expression dependencies attributable to the biologically interrelated experiments, however, has been widely ignored. Wh...
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作者：Wang, Hansheng; Xia, Yingcun
作者单位：Peking University; National University of Singapore
摘要：The varying coefficient model is a useful extension of the linear regression model. Nevertheless, how to conduct variable selection for the varying coefficient model in a computationally efficient manner is poorly understood. To solve the problem, we propose here a novel method, which combines the ideas of the local polynomial smoothing and the Least Absolute Shrinkage and Selection Operator (LASSO). The new method can do nonparametric estimation and variable selection simultaneously. With a l...
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作者：Gomes, M. L.; Pestana, D.
