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作者：Aronow, Peter M.; Samii, Cyrus
作者单位：Yale University; New York University
摘要：This paper presents a randomization-based framework for estimating causal effects under interference between units motivated by challenges that arise in analyzing experiments on social networks. The framework integrates three components: (i) an experimental design that defines the probability distribution of treatment assignments, (ii) a mapping that relates experimental treatment assignments to exposures received by units in the experiment, and (iii) estimands that make use of the experiment ...
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作者：Towe, Ross; Eastoe, Emma; Tawn, Jonathan; Jonathan, Philip
作者单位：Lancaster University; Lancaster University; Royal Dutch Shell
摘要：For safe offshore operations, accurate knowledge of the extreme oceanographic conditions is required. We develop a multi-step statistical downscaling algorithm using data from a low resolution global climate model (GCM) and local-scale hindcast data to make predictions of the extreme wave climate in the next 50-year period at locations in the North Sea. The GCM is unable to produce wave data accurately so instead we use its 3-hourly wind speed and direction data. By exploiting the relationship...
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作者：Ludwig, Guilherme; Chu, Tingjin; Zhu, Jun; Wang, Haonan; Koehler, Kirsten
作者单位：University of Wisconsin System; University of Wisconsin Madison; Renmin University of China; University of Wisconsin System; University of Wisconsin Madison; Colorado State University System; Colorado State University Fort Collins; Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health
摘要：Rapid technological advances have drastically improved the data collection capacity in occupational exposure assessment. However, advanced statistical methods for analyzing such data and drawing proper inference remain limited. The objectives of this paper are (1) to provide new spatio-temporal methodology that combines data from both roving and static sensors for data processing and hazard mapping across space and over time in an indoor environment, and (2) to compare the new method with the ...
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作者：Huo, Zhiguang; Tseng, George
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
摘要：Cancer subtypes discovery is the first step to deliver personalized medicine to cancer patients. With the accumulation of massive multi-level omics datasets and established biological knowledge databases, omics data integration with incorporation of rich existing biological knowledge is essential for deciphering a biological mechanism behind the complex diseases. In this manuscript, we propose an integrative sparse K-means (IS-Kmeans) approach to discover disease subtypes with the guidance of ...
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作者：Gromenko, Oleksandr; Kokoszka, Piotr; Sojka, Jan
作者单位：Colorado State University System; Colorado State University Fort Collins; Utah System of Higher Education; Utah State University; Utah System of Higher Education; Utah State University
摘要：We develop a statistical framework to test the hypothesis of the existence of an ionospheric cooling trend related to the global warming hypothesis; both are attributed to the same driver, namely the increased concentration of greenhouse gases. However, the study of a temporal trend in the ionosphere is easier because there are fewer covariates to be taken into account. The hypothesis that a cooling trend in the ionosphere exists has been an important focus of space physics research for over t...
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作者：Hunter, David R.; Bao, Le; Poss, Mary
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：Structural variation occurs in the genomes of individuals because of the different positions occupied by repetitive genome elements like endogenous retroviruses, or ERVs. The presence or absence of ERVs can be determined by identifying the junction with the host genome using high-throughput sequence technology and a clustering algorithm. The resulting data give the number of sequence reads assigned to each ERV-host junction sequence for each sampled individual. Variability in the number of rea...
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作者：Kelly, Luke J.; Nicholls, Geoff K.
作者单位：University of Oxford
摘要：Lateral transfer, a process whereby species exchange evolutionary traits through nonancestral relationships, is a frequent source of model misspecification in phylogenetic inference. Lateral transfer obscures the phylogenetic signal in the data as the histories of affected traits are mosaics of the overall phylogeny. We control for the effect of lateral transfer in a Stochastic Dollo model and a Bayesian setting. Our likelihood is highly intractable, as the parameters are the solution of a seq...
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作者：Matechou, Eleni; Caron, Francois
作者单位：University of Kent; University of Oxford
摘要：We present a Bayesian nonparametric approach for modelling wildlife migration patterns using capture-recapture (CR) data. Arrival times of individuals are modelled in continuous time and assumed to be drawn from a Poisson process with unknown intensity function, which is modelled via a flexible nonparametric mixture model. The proposed CR framework allows us to estimate the following: (i) the total number of individuals that arrived at the site, (ii) their times of arrival and departure, and h...
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作者：Osthus, Dave; Hickmann, Kyle S.; Caragea, Petruta C.; Higdon, Dave; Del Valle, Sara Y.
作者单位：United States Department of Energy (DOE); Los Alamos National Laboratory; Iowa State University; Virginia Polytechnic Institute & State University
摘要：Seasonal influenza is a serious public health and societal problem due to its consequences resulting from absenteeism, hospitalizations, and deaths. The overall burden of influenza is captured by the Centers for Disease Control and Prevention's influenza-like illness network, which provides invaluable information about the current incidence. This information is used to provide decision support regarding prevention and response efforts. Despite the relatively rich surveillance data and the recu...
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作者：Chen, Hao; Jiang, Yuchao; Maxwell, Kara N.; Nathanson, Katherine L.; Zhang, Nancy
作者单位：University of California System; University of California Davis; University of Pennsylvania; University of Pennsylvania
摘要：Whole exome sequencing is currently a technology of choice in large-scale cancer genomics studies, where the priority is to identify cancer-associated variants in coding regions. We describe a method for estimating allele-specific copy number using whole exome sequencing data from tumor and matched normal.
