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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...
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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...
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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, ...
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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：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：Hodges, James S.
作者单位：University of Minnesota System; University of Minnesota Twin Cities
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作者：Ellis, Byron; Wong, Wing Hung
作者单位：Stanford University
摘要：We propose a method for the computational inference of directed acyclic graphical structures given data from experimental interventions. Order-space Markov chain Monte Carlo, equi-energy sampling, importance weighting, and stream-based computation are combined to create a fast algorithm for learning causal Bayesian network structures.
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作者：Froelich, Markus
作者单位：University of Mannheim
摘要：Choosing among a number of treatments the most suitable for a particular client is an issue of everyday concern. In this article two methodological advances for statistically assisted treatment choice are developed: First, it permits one to combine a dataset on previously treated clients with a dataset on new clients when the regressors available in these two datasets do not coincide. It thereby incorporates additional regressors on previously treated clients that are not available for the cur...
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作者：Gelman, Andrew; Huang, Zaiying
作者单位：Columbia University; Columbia University; New York Times
摘要：Incumbency advantage is one of the most widely studied features in American legislative elections. In this article we construct and implement an estimate that allows incumbency advantage to vary between individual incumbents. This model predicts that open-seat elections will be less variable than those with incumbents running, an observed empirical pattern that is not explained by previous models. We apply our method to the U.S. House of Representatives in the twentieth century. Our estimate o...
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作者：Wang, Hansheng; Xia, Yingcun
作者单位：Peking University; National University of Singapore
摘要：A new dimension-reduction method involving slicing the region of the response and applying local kernel regression to each slice is proposed. Compared with the traditional inverse regression methods [e.g., sliced inverse regression (SIR)], the new method is free of the linearity condition and has much better estimation accuracy. Compared with the direct estimation methods (e.g., MAVE), the new method is much more robust against extreme values and can capture the entire central subspace (CS) ex...
