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作者：Zhao, Wei; Wu, Rongling
作者单位：St Jude Children's Research Hospital; State University System of Florida; University of Florida
摘要：Functional mapping based on parametric and nonparametric modeling of functional data can estimate the developmental pattern of genetic effects on a complex dynamic or longitudinal process triggered by quantitative trait loci (QTLs). But existing functional mapping models have a limitation for mapping dynamic QTLs with irregular functional data characterized by many local features, such as peaks. We derive a statistical model for QTL mapping of longitudinal curves of any form based on wavelet s...
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作者：Jin, Hui; Rubin, Donald B.
作者单位：Harvard University
摘要：Many double-blind placebo-controlled randomized experiments with active drugs suffer from complications beyond simple noncompliance. First, the compliance with assigned dose is often partial, with patients taking only part of the assigned dose, whether active or placebo. Second, the blinding may be imperfect in the sense that there may be detectable positive or negative side effects of the active drug, and consequently, simple compliance has to be extended to allow different compliances to act...
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作者：Mueller, Hans-Georg; Yao, Fang
作者单位：University of California System; University of California Davis; University of Toronto
摘要：In commonly used functional regression models. the regression of it scalar or functional response oil the functional predictor is assumed to be linear. This means that the response is a linear function of the functional principal component scores of the predictor process. We relax the linearity assumption and propose to replace it by an additive structure. leading to it more widely applicable and much more flexible framework for functional regression models. The proposed functional additive re...
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作者：Li, Bing; Wen, Songqiao; Zhu, Lixing
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Hong Kong Baptist University; Hong Kong Baptist University
摘要：Consider the dimension reduction problem where both the response and the predictor are vectors. Existing estimators of this problem take one of the following routes: (1) targeting the part of the dimension reduction space that is related to the conditional mean (or moments) of the response space directly by multivariate slicing. However, the first two approaches do not fully recover the dimension reduction space, and the third is hampered by the fact that the accuracy of estimators based on mu...
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作者：Veen, Alejandro; Schoenberg, Frederic P.
作者单位：International Business Machines (IBM); IBM USA; University of California System; University of California Los Angeles
摘要：Maximum likelihood estimation of branching point process models via numerical optimization procedures can be unstable and computationally intensive. We explore an alternative estimation method based on the expectation-maximization algorithm. The method involves viewing the estimation of such branching processes as analogous to incomplete data problems. Using an application from seismology, we show how the epidemic-type aftershock sequence (ETAS) model can, in fact, be estimated this way, and w...
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作者：Zabell, S. L.
作者单位：Northwestern University; Northwestern University
摘要：This month marks the 100th anniversary of the appearance of William Sealey Gusset's celebrated article, The Probable Error of a Mean (Student 1908a). Gosset's elegant result represented the first in a series of exact, small-sample results that were developed by Gusset, Fisher, and others to form a central component of the modern theory of statistical inference. This review celebrates the centenary of Gosset's article by discussing both its background and its impact on statistical theory and pr...
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作者：Guan, Yongtao
作者单位：Yale University
摘要：A common nonparametric approach to estimate the intensity function of an inhomogeneous spatial point process is through kernel smoothing. When conducting the smoothing, one typically uses events only in a local set around the point of interest. But the resulting estimator often is inconsistent, because the number of events in a fixed set is of order 1 for spatial point processes. In this article we propose a new covariance-based kernel smoothing method to estimate the intensity function. Our m...
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作者：Hodges, James S.
作者单位：University of Minnesota System; University of Minnesota Twin Cities
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作者：Thomson, Madeleine C.
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作者：Zhu, Jun; Rasmussen, Jakob G.; Moller, Jesper; Aukema, Brian H.; Raffa, Kenneth F.
作者单位：University of Wisconsin System; University of Wisconsin Madison; Aalborg University; Natural Resources Canada; Canadian Forest Service; University of Northern British Columbia; University of Wisconsin System; University of Wisconsin Madison
摘要：Studies of forest declines are important, because they both reduce timber production and affect successional trajectories of landscapes and ecosystems. Of particular interest is the decline of red pines, which is characterized by expanding areas of dead and chlorotic trees in plantations throughout the Great Lakes region. Here we examine the impact of two bark beetle groups, red turpentine beetles and pine engraver bark beetles, on tree mortality and the subsequent gap formation over time in a...
