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作者：Mendelssohn, Roy
作者单位：National Oceanic Atmospheric Admin (NOAA) - USA
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作者：Ghosh, Debashis; Choi, Hyungwon
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
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作者：Gustafson, Paul
作者单位：University of British Columbia
摘要：In health research and other fields. the observational data available to researchers often fall short of the data that ideally would be available, due to the inherent limitations of study design and data acquisition. Were they available, these ideal data might be readily analyzed via straightforward statistical models with such desirable properties as parameter identifiability. Conversely, realistic models for the available data that incorporate uncertainty about the link between ideal and ava...
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作者：Wang, Lan; Kai, Bo; Li, Runze
作者单位：University of Minnesota System; University of Minnesota Twin Cities; College of Charleston; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：By allowing the regression coefficients to change with certain covariates, the class of varying coefficient models offers a flexible approach to modeling nonlinearity and interactions between covariates. This article proposes a novel estimation procedure for the varying coefficient models based on local ranks. The new procedure provides a highly efficient and robust alternative to the local linear least squares method. and can be conveniently implemented using existing R software package. Theo...
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作者：Xiao, Zhijie; Koenker, Roger
作者单位：Boston College; University of Illinois System; University of Illinois Urbana-Champaign
摘要：Conditional quantile estimation is an essential ingredient in modem risk management. Although generalized autoregressive conditional heteroscedasticity (GARCH) processes have proven highly successful in modeling financial data, it is generally recognized that it would be useful to consider a broader class of processes capable of representing more flexibly both asymmetry and tail behavior of conditional returns distributions. In this article we study estimation of conditional quantiles for GARC...
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作者：Rutter, Carolyn M.; Miglioretti, Diana L.; Savarino, James E.
作者单位：University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle
摘要：Microsimulation models that describe disease processes synthesize information from multiple sources and can be used to estimate the effects of screening and treatment on cancer incidence and mortality at a population level. These models are characterized by simulation of individual event histories for an idealized population of interest. Microsimulation models are complex and invariably include parameters that are not well informed by existing data. Therefore, a key component of model developm...
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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, Junhui; Shen, Xiaotong; Pan, Wei
作者单位：University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital; University of Minnesota System; University of Minnesota Twin Cities; University of Minnesota System; University of Minnesota Twin Cities
摘要：Hierarchical classification is critical to knowledge management and exploration. as is gene function prediction and document categorization. In hierarchical classification, an input is classified according to a structured hierarchy. In such a situation, the central issue is how to effectively utilize the interclass relationship to improve the generalization performance of flat classification ignoring such dependency. In this article, we propose a novel large margin method through constraints c...
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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...
