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作者：Yan, J; Fine, JP
作者单位：University of Iowa; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
摘要：We consider multivariate temporal processes that are continuously observed within overlapping time windows. The intended application is in censored multistate and multivariate survival settings, where point processes are continuously observed. These data differ from other functional data, like longitudinal data, which are discretely observed at irregular times. Existing functional approaches to survival processes use intensity models, which require smoothing and depend critically on the choice...
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作者：Samarov, A; Spokoiny, V; Vial, C
作者单位：University of Massachusetts System; University of Massachusetts Lowell; Massachusetts Institute of Technology (MIT); Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; Humboldt University of Berlin; Australian National University
摘要：This article proposes a new method of analysis of a partially linear model whose nonlinear component is completely unknown. The target of analysis is identification of the set of regressors that enter in a nonlinear way in the model function, and complete estimation of the model, including slope coefficients of the linear component and the link function of the nonlinear component. The procedure also allows selection of the significant regression variables. We also develop a test of linear hypo...
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作者：Stein, ML
作者单位：University of Chicago
摘要：This work considers a number of properties of space-time covariance functions and how these relate to the spatial-temporal interactions of the process. First, it examines how the smoothness away from the origin of a space-time covariance function affects, for example, temporal correlations of spatial differences. Models that are not smoother away from the origin than they are at the origin, such as separable models, have a kind of discontinuity to certain correlations that one might wish to av...
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作者：Tzeng, SL; Huang, HC; Cressie, N
作者单位：Academia Sinica - Taiwan; University System of Ohio; Ohio State University
摘要：This article considers a class of multiresolution tree-structured models that are spatially shifted versions of each other and proposes a new spatial-prediction method that averages over the optimal spatial predictors produced from members of this class of models. As a consequence, the resulting predicted surface is smooth, even when the predictors generated separately from individual multiresolution tree-structured models are not. We call the new predictor the multiresolution spatial (MURS) p...
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作者：Tibshirani, R
作者单位：Stanford University; Stanford University
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作者：Zeng, DL; Yin, GS; Ibrahim, JG
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of Texas System; UTMD Anderson Cancer Center
摘要：A new class of transformed hazard rate models is considered that contains both the multiplicative hazards model and the additive hazards model as special cases. The sieve maximum likelihood estimators are derived for the model parameters, and the estimators for the regression coefficients are shown to be consistent and asymptotically normal with variance achieving the semiparametric efficiency bound. Simulation studies are conducted to examine the small-sample properties of the proposed estima...
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作者：Iversen, ES Jr; Chen, SN
作者单位：Duke University; Duke University; Johns Hopkins University
摘要：Phenotypic characterization of rare disease genes poses a significant statistical challenge, but the need to do so is clear. Clinical management of patients carrying a disease gene depends crucially on an accurate characterization of the genetically predisposed disease, including its likelihood of occurrence among mutation carriers, natural history, and response to treatment. We propose a formal yet practical method for controlling for bias due to ignoring ascertainment, defined as the samplin...
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作者：Pavía-Miralles, JM
作者单位：University of Valencia
摘要：The 1990s was not the best of decades for electoral polls, with striking errors occurring in, among others, the British, French, and Spanish elections, including election night, when errors are more evident. This article proposes a model for predicting final election outcomes based on the consistency that polling stations show between elections. Using both past and incoming polling station vote proportions, the model produces continuously revised predictions. The method is validated predicting...
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作者：Huang, J; Zhang, CH
作者单位：University of Iowa; University of Iowa; Rutgers University System; Rutgers University New Brunswick
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作者：Huang, J; Wang, D; Zhang, CH
作者单位：University of Iowa; University of Iowa; University of Alabama System; University of Alabama Birmingham; Rutgers University System; Rutgers University New Brunswick
摘要：A basic question in analyzing cDNA microarray data is normalization, the purpose of which is to remove systematic bias in the observed expression values by establishing a normalization curve across the whole dynamic range. A proper normalization procedure ensures that the normalized intensity ratios provide meaningful measures of relative expression levels. We propose a two-way semilinear model (TW-SLM) for normalization and analysis of microarray data. This method does not make the usual assu...
