-
作者：Rivest, Louis-Paul; Baillargeon, Sophie; Pierrynowski, Michael
作者单位：Laval University; McMaster University
摘要：This article is motivated by the estimation of the direction of the two rotation axes of the ankle. These axes carry information on individual ankles: they are useful in the construction of biomechanical models and the treatment of orthopedic problems. In biomechanics, the rotation axes of the ankle often are estimated using optimization techniques. This work investigates a statistical model for carrying out the estimation. The data set for analysis is a time-ordered sequence of 3x3 rotation m...
-
作者：Logan, John Allen; Hoff, Peter D.; Newton, Michael A.
作者单位：University of Wisconsin System; University of Wisconsin Madison; University of Washington; University of Washington Seattle; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
摘要：We propose a two-sided method to simultaneously estimate men's and women's preferences for relative age, education, and religious characteristics of potential mates using cross-sectional data on married couples and single individuals, in conjunction with a behavioral model developed in game theory and discrete choice estimation methods developed for simpler, one-sided choice situations. We use fixed effects to control for characteristics that are observed by the opposite sex but are missing fr...
-
作者：Liang, Feng; Paulo, Rui; Molina, German; Clyde, Merlise A.; Berger, Jim O.
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; Universidade de Lisboa; Duke University
摘要：Zellner's g prior remains a popular conventional prior for use in Bayesian variable selection, despite several undesirable consistency issues. In this article we study mixtures of g priors as an alternative to default g priors that resolve many of the problems with the original formulation while maintaining the computational tractability that has made the g prior so popular. We present theoretical properties of the mixture g priors and provide real and simulated examples to compare the mixture...
-
作者：Bock, Mary Ellen
作者单位：Purdue University System; Purdue University
摘要：Statisticians are harnessing the power of information buried in today's massive and complex data. High-dimensional data sets, often the result of combining multiple databases, have led to important challenges in mathematical statistics. The increasing quantity of high-dimensional complex data and the ability of statisticians to uncover the information in it have led to ever greater demand for their expertise. For example, many businesses seek to build analytic capabilities, and statisticians a...
-
作者：Liang, Hua; Wu, Hulin
作者单位：University of Rochester
摘要：Differential equation (DE) models are widely used in many scientific fields, including engineering, physics, and biomedical sciences. The so-called forward problem, the problem of simulations and predictions of state variables for given parameter values in the DE models. has been extensively studied by mathematicians, physicists, engineers, and other scientists. However, the inverse problem the problem of parameter estimation based on the measurements of output variables, has not been well exp...
-
作者：Merl, Daniel; Prado, Raquel; Escalante, Ananias A.
作者单位：Duke University; University of California System; University of California Santa Cruz; Arizona State University; Arizona State University-Tempe
摘要：We present it statistical approach for identifying residues in DNA sequences for which diversity may be maintained by natural selection. Bayesian generalized linear models (GLMs) are used to describe patterns of mutation in it DNA Sequence alignment. Posterior distributions of key quantities. such as probabilities of nonsynonymous and synonymous mutations per site, are studied. Inference in this class of models is achieved through customary Markov chain Monte Carlo methods. Model selection is ...
-
作者：Yin, Guosheng; Li, Hui; Zeng, Donglin
作者单位：University of Texas System; UTMD Anderson Cancer Center; Beijing Normal University; University of North Carolina; University of North Carolina Chapel Hill
摘要：To explore the nonlinear interactions between some covariates and an exposure variable, we propose the partially linear additive hazards model for survival data. In a semiparametric setting, we construct a local pseudoscore function to estimate the varying and constant coefficients and establish the asymptotic normality of the proposed estimators. Moreover, we develop the weak convergence property for the local estimator of the baseline cumulative hazard function. We conduct simulation studies...
-
作者：Higdon, Dave; Gattiker, James; Williams, Brian; Rightley, Maria
作者单位：United States Department of Energy (DOE); Los Alamos National Laboratory
摘要：This work focuses on combining observations from field experiments with detailed computer simulations of a physical process to carry out statistical inference. Of particular interest here is determining uncertainty in resulting predictions. This typically involves calibration of parameters in the computer simulator as well as accounting for inadequate physics in the simulator. The problem is complicated by the fact that simulation code is sufficiently demanding that only a limited number of si...
-
作者：van Dyk, David A.; Park, Taeyoung
作者单位：University of California System; University of California Irvine; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
摘要：Ever-increasing computational power, along with ever-more sophisticated statistical computing techniques, is making it possible to fit ever-more complex statistical models. Among the more computationally intensive methods, the Gibbs sampler is popular because of its simplicity and power to effectively generate samples from a high-dimensional probability distribution. Despite its simple implementation and description, however, the Gibbs sampler is criticized for its sometimes slow convergence, ...
-
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...
