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作者：Graham, Daniel J.; McCoy, Emma J.; Stephens, David A.
作者单位：Imperial College London; Imperial College London; McGill University
摘要：Road network capacity expansions are frequently proposed as solutions to urban traffic congestion but are controversial because it is thought that they can directly induce growth in traffic volumes. This article quantifies causal effects of road network capacity expansions on aggregate urban traffic volume and density in U.S. cities using a mixed model propensity score (PS) estimator. The motivation for this approach is that we seek to estimate a dose-response relationship between capacity and...
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作者：Tian, Lu; Alizadeh, Ash A.; Gentles, Andrew J.; Tibshirani, Robert
作者单位：Stanford University; Stanford University; Stanford University; Stanford University
摘要：We consider a setting in which we have a treatment and a potentially large number of covariates for a set of observations, and wish to model their relationship with an outcome of interest. We propose a simple method for modeling interactions between the treatment and covariates. The idea is to modify the covariate in a simple way, and then fit a standard model using the modified covariates and no main effects. We show that coupled with an efficiency augmentation procedure, this method produces...
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作者：Cai, T. Tony; Low, Mark; Ma, Zongming
作者单位：University of Pennsylvania
摘要：This article proposes a new formulation for the construction of adaptive confidence bands (CBs) in nonparametric function estimation problems. CBs, which have size that adapts to the smoothness of the function while guaranteeing that both the relative excess mass of the function lying outside the band and the measure of the set of points where the function lies outside the band are small. It is shown that the bands adapt over a maximum range of Lipschitz classes. The adaptive CB can be easily ...
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作者：Liang, Faming; Cheng, Yichen; Lin, Guang
作者单位：Texas A&M University System; Texas A&M University College Station; United States Department of Energy (DOE); Pacific Northwest National Laboratory
摘要：Simulated annealing has been widely used in the solution of optimization problems. As known by many researchers, the global optima cannot be guaranteed to be located by simulated annealing unless a logarithmic cooling schedule is used. However, the logarithmic cooling schedule is so slow that no one can afford to use this much CPU time. This article proposes a new stochastic optimization algorithm, the so-called simulated stochastic approximation annealing algorithm, which is a combination of ...
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作者：Wu, Hulin; Lu, Tao; Xue, Hongqi; Liang, Hua
作者单位：University of Rochester; State University of New York (SUNY) System; University at Albany, SUNY; George Washington University
摘要：The gene regulation network (GRN) is a high-dimensional complex system, which can be represented by various mathematical or statistical models. The ordinary differential equation (ODE) model is one of the popular dynamic GRN models. High-dimensional linear ODE models have been proposed to identify GRNs, but with a limitation of the linear regulation effect assumption. In this article, we propose a sparse additive ODE (SA-ODE) model, coupled with ODE estimation methods and adaptive group least ...
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作者：Huang, Alan
作者单位：University of Technology Sydney
摘要：This article introduces a semiparametric extension of generalized linear models that is based on a full probability model, but does not require specification of an error distribution or variance function for the data. The approach involves treating the error distribution as an infinite-dimensional parameter, which is then estimated simultaneously with the mean-model parameters using a maximum empirical likelihood approach. The resulting estimators are shown to be consistent and jointly asympto...
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作者：Wang, Fangpo; Gelfand, Alan E.
作者单位：Adobe Systems Inc.; Duke University
摘要：Directional data naturally arise in many scientific fields, such as oceanography (wave direction), meteorology (wind direction), and biology (animal movement direction). Our contribution is to develop a fully model-based approach to capture structured spatial dependence for modeling directional data at different spatial locations. We build a projected Gaussian spatial process, induced from an inline bivariate Gaussian spatial process. We discuss the properties of the projected Gaussian process...
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作者：Shao, Xiaofeng; Zhang, Jingsi
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; Northwestern University
摘要：In this article, we propose a new metric, the so-called martingale difference correlation, to measure the departure of conditional mean independence between a scalar response variable V and a vector predictor variable U. Our metric is a natural extension of distance correlation proposed by Szekely, Rizzo, and Bahirov, which is used to measure the dependence between V and U. The martingale difference correlation and its empirical counterpart inherit a number of desirable features of distance co...
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作者：Cook, R. Dennis; Zhang, Xin
作者单位：University of Minnesota System; University of Minnesota Twin Cities
摘要：When studying the regression of a univariate variable Y on a vector x of predictors, most existing sufficient dimension-reduction (SDR) methods require the construction of slices of Y to estimate moments of the conditional distribution of X given Y. But there is no widely accepted method for choosing the number of slices, while a poorly chosen slicing scheme may produce miserable results. We propose a novel and easily implemented fusing method that can mitigate the problem of choosing a slicin...
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作者：Dunson, David B.
作者单位：Duke University
