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作者：Huang, Yen-Tsung
作者单位：Academia Sinica - Taiwan
摘要：Mediation analysis has become a popular practice in biomedical research. We conduct mediation analyses to investigate whether epigenetic variations mediate the effect of socioeconomic disadvantage on adiposity. Mediation effects can be expressed as a product of two parameters: one for the exposure-mediator association and the other for the mediator-outcome association conditional on the exposure. Under multi-mediator models, we study joint significance tests which examine the two parameters se...
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作者：Conn, Paul B.; Alisauskas, Ray T.
作者单位：National Oceanic Atmospheric Admin (NOAA) - USA; Environment & Climate Change Canada; Canadian Wildlife Service; Wildlife Research Division - Environment Canada
摘要：Mark-recapture distance sampling is a promising method for surveying bird populations from aircraft in open landscapes. However, commonly available distance sampling estimators require that distances to target animals are made without error and that animals are stationary while sampling is being conducted. Motivated by a recent bird survey where these requirements were routinely violated, we describe a marginal likelihood framework for estimating abundance from double-observer data that can ac...
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作者：Jeong, Jaehong; Castruccio, Stefano; Crippa, Paola; Genton, Marc G.
作者单位：King Abdullah University of Science & Technology; University of Notre Dame; University of Notre Dame
摘要：Wind has the potential to make a significant contribution to future energy resources. Locating the sources of this renewable energy on a global scale is however extremely challenging, given the difficulty to store very large data sets generated by modern computer models. We propose a statistical model that aims at reproducing the data-generating mechanism of an ensemble of runs via a Stochastic Generator (SG) of global annual wind data. We introduce an evolutionary spectrum approach with spati...
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作者：Liu, Lydia T.; Dobriban, Edgar; Singer, Amit
作者单位：University of California System; University of California Berkeley; University of Pennsylvania; Princeton University; Princeton University
摘要：Many applications involve large datasets with entries from exponential family distributions. Our main motivating application is photon-limited imaging, where we observe images with Poisson distributed pixels. We focus on X-ray Free Electron Lasers (XFEL), a quickly developing technology whose goal is to reconstruct molecular structure. In XFEL, estimating the principal components of the noiseless distribution is needed for denoising and for structure determination. However, the standard method...
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作者：Petersen, Ashley; Simon, Noah; Witten, Daniela
作者单位：University of Minnesota System; University of Minnesota Twin Cities; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle
摘要：In the past few years, new technologies in the field of neuroscience have made it possible to simultaneously image activity in large populations of neurons at cellular resolution in behaving animals. In mid-2016, a huge repository of this so-called calcium imaging data was made publicly available. The availability of this large-scale data resource opens the door to a host of scientific questions for which new statistical methods must be developed. In this paper we consider the first step in th...
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作者：Tao, Yebin; Wang, Lu; Almirall, Daniel
作者单位：University of Michigan System; University of Michigan; University of Michigan System; University of Michigan
摘要：Dynamic treatment regimes (DTRs) are sequences of treatment decision rules, in which treatment may be adapted over time in response to the changing course of an individual. Motivated by the substance use disorder (SUD) study, we propose a tree-based reinforcement learning (T-RL) method to directly estimate optimal DTRs in a multi-stage multi-treatment setting. At each stage, T-RL builds an unsupervised decision tree that directly handles the problem of optimization with multiple treatment comp...
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作者：Luo, Xiangyu; Wei, Yingying
作者单位：Chinese University of Hong Kong; Chinese University of Hong Kong
摘要：Gene expression is largely controlled by transcription factors (TFs) in a collaborative manner. Therefore, an understanding of TF collaboration is crucial for the elucidation of gene regulation. The co-activation of TFs can be represented by networks. These networks are dynamic in diverse biological conditions and heterogeneous across the genome within each biological condition. Existing methods for construction of TF networks lack solid statistical models, analyze each biological condition se...
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作者：Zhang, Yilin; Poux-Berthe, Marie; Wells, Chris; Koc-Michalska, Karolina; Rohe, Karl
作者单位：University of Wisconsin System; University of Wisconsin Madison; Audencia; Boston University
摘要：We propose a graph contextualization method, pairGraphText, to study political engagement on Facebook during the 2012 French presidential election. It is a spectral algorithm that contextualizes graph data with text data for online discussion thread. In particular, we examine the Facebook posts of the eight leading candidates and the comments beneath these posts. We find evidence of both (i) candidate-centered structure, where citizens primarily comment on the wall of one candidate and (ii) is...
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作者：Bessac, Julie; Constantinescu, Emil; Anitescu, Mihai
作者单位：United States Department of Energy (DOE); Argonne National Laboratory; University of Chicago; University of Chicago
摘要：We propose a statistical space-time model for predicting atmospheric wind speed based on deterministic numerical weather predictions and historical measurements. We consider a Gaussian multivariate space-time framework that combines multiple sources of past physical model outputs and measurements in order to produce a probabilistic wind speed forecast within the prediction window. We illustrate this strategy on wind speed forecasts during several months in 2012 for a region near the Great Lake...
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作者：Franks, Alexander M.; Markowetz, Florian; Airoldi, Edoardo M.
作者单位：University of California System; University of California Santa Barbara; University of Cambridge; Cancer Research UK; CRUK Cambridge Institute; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：Improving current models and hypotheses of cellular pathways is one of the major challenges of systems biology and functional genomics. There is a need for methods to build on established expert knowledge and reconcile it with results of new high-throughput studies. Moreover, the available sources of data are heterogeneous, and the data need to be integrated in different ways depending on which part of the pathway they are most informative for. In this paper, we introduce a compartment specifi...
