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作者：Guinness, Joseph; Stein, Michael L.
作者单位：University of Chicago; University of Chicago
摘要：The Atmospheric Radiation Measurement program is a U.S. Department of Energy project that collects meteorological observations at several locations around the world in order to study how weather processes affect global climate change. As one of its initiatives, it operates a set of fixed but irregularly-spaced monitoring facilities in the Southern Great Plains region of the U. S. We describe methods for interpolating temperature records from these fixed facilities to locations at which no obse...
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作者：Meister, Arwen; Li, Ye Henry; Choi, Bokyung; Wong, Wing Hung
作者单位：Stanford University
摘要：Biological structure and function depend on complex regulatory interactions between many genes. A wealth of gene expression data is available from high-throughput genome-wide measurement technologies, but effective gene regulatory network inference methods are still needed. Model-based methods founded on quantitative descriptions of gene regulation are among the most promising, but many such methods rely on simple, local models or on ad hoc inference approaches lacking experimental interpretab...
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作者：Fu, Audrey Qiuyan; Russell, Steven; Bray, Sarah J.; Tavare, Simon
作者单位：University of Cambridge; University of Cambridge; University of Cambridge; University of Southern California
摘要：To identify novel dynamic patterns of gene expression, we develop a statistical method to cluster noisy measurements of gene expression collected from multiple replicates at multiple time points, with an unknown number of clusters. We propose a random-effects mixture model coupled with a Dirichlet-process prior for clustering. The mixture model formulation allows for probabilistic cluster assignments. The random-effects formulation allows for attributing the total variability in the data to th...
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作者：Rusch, Thomas; Lee, Ilro; Hornik, Kurt; Jank, Wolfgang; Zeileis, Achim
作者单位：Vienna University of Economics & Business; Vienna University of Economics & Business; University of New South Wales Sydney; State University System of Florida; University of South Florida; University of Innsbruck
摘要：In political campaigning substantial resources are spent on voter mobilization, that is, on identifying and influencing as many people as possible to vote. Campaigns use statistical tools for deciding whom to target (microtargeting). In this paper we describe a nonpartisan campaign that aims at increasing overall turnout using the example of the 2004 US presidential election. Based on a real data set of 19,634 eligible voters from Ohio, we introduce a modern statistical framework well suited f...
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作者：Kleiber, William; Sain, Stephan R.; Heaton, Matthew J.; Wiltberger, Michael; Reese, C. Shane; Bingham, Derek
作者单位：University of Colorado System; University of Colorado Boulder; Brigham Young University; Brigham Young University; Simon Fraser University
摘要：Geomagnetic storms play a critical role in space weather physics with the potential for far reaching economic impacts including power grid outages, air traffic rerouting, satellite damage and GPS disruption. The LFM-MIX is a state-of-the-art coupled magnetospheric-ionospheric model capable of simulating geomagnetic storms. Imbedded in this model are physical equations for turning the magnetohydrodynamic state parameters into energy and flux of electrons entering the ionosphere, involving a set...
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作者：Castruccio, Stefano; Stein, Michael L.
作者单位：University of Chicago
摘要：Global climate models aim to reproduce physical processes on a global scale and predict quantities such as temperature given some forcing inputs. We consider climate ensembles made of collections of such runs with different initial conditions and forcing scenarios. The purpose of this work is to show how the simulated temperatures in the ensemble can be reproduced (emulated) with a global space/time statistical model that addresses the issue of capturing nonstationarities in latitude more effe...
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作者：Yau, Christopher; Holmes, Christopher C.
作者单位：Imperial College London; University of Oxford
摘要：This paper is concerned with statistical methods for the segmental classification of linear sequence data where the task is to segment and classify the data according to an underlying hidden discrete state sequence. Such analysis is commonplace in the empirical sciences including genomics, finance and speech processing. In particular, we are interested in answering the following question: given data y and a statistical model pi(x, y) of the hidden states x, what should we report as the predict...
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作者：Deng, Wanlu; Geng, Zhi; Li, Hongzhe
作者单位：Peking University; University of Pennsylvania
摘要：Multivariate time series (MTS) data such as time course gene expression data in genomics are often collected to study the dynamic nature of the systems. These data provide important information about the causal dependency among a set of random variables. In this paper, we introduce a computationally efficient algorithm to learn directed acyclic graphs (DAGs) based on MTS data, focusing on learning the local structure of a given target variable. Our algorithm is based on learning all parents (P...
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作者：Hill, Jennifer; Su, Yu-Sung
作者单位：New York University; Tsinghua University
摘要：Causal inference in observational studies typically requires making comparisons between groups that are dissimilar. For instance, researchers investigating the role of a prolonged duration of breastfeeding on child outcomes may be forced to make comparisons between women with substantially different characteristics on average. In the extreme there may exist neighborhoods of the covariate space where there are not sufficient numbers of both groups of women (those who breastfed for prolonged per...
