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作者：Mastrantonio, Gianluca; Lasinio, Giovanna Jona; Pollice, Alessio; Capotorti, Giulia; Teodonio, Lorenzo; Genova, Giulio; Blasi, Carlo
作者单位：Polytechnic University of Turin; Universita degli Studi di Bari Aldo Moro
摘要：We introduce a Bayesian multivariate hierarchical framework to estimate a space-time model for a joint series of monthly extreme temperatures and amounts of precipitation. Data are available for 360 monitoring stations over 60 years, with missing data affecting almost all series. Model components account for spatio-temporal correlation and annual cycles, dependence on covariates and between responses. Spatio-temporal dependence is modeled by the nearest neighbor Gaussian process (GP), response...
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作者：Euan, Carolina; Sun, Ying; Ombao, Hernando
作者单位：King Abdullah University of Science & Technology
摘要：We develop the hierarchical cluster coherence (HCC) method for brain signals, a procedure for characterizing connectivity in a network by clustering nodes or groups of channels that display a high level of coordination as measured by cluster-coherence. While the most common approach to measure dependence between clusters is through pairs of single time series, our method proposes cluster coherence which measures dependence between pairs of whole clusters rather than between single elements. Th...
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作者：Nethery, Rachel C.; Mealli, Fabrizia; Dominici, Francesca
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; University of Florence
摘要：Most causal inference studies rely on the assumption of overlap to estimate population or sample average causal effects. When data suffer from non-overlap, estimation of these estimands requires reliance on model specifications due to poor data support. All existing methods to address non-overlap, such as trimming or down-weighting data in regions of poor data support, change the estimand so that inference cannot be made on the sample or the underlying population. In environmental health resea...
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作者：Dobra, Adrian; Valdes, Camilo; Ajdic, Dragana; Clarke, Bertrand; Clarke, Jennifer
作者单位：University of Washington; University of Washington Seattle; State University System of Florida; Florida International University; University of Miami; University of Miami; University of Nebraska System; University of Nebraska Lincoln
摘要：There is a growing awareness of the important roles that microbial communities play in complex biological processes. Modern investigation of these often uses next generation sequencing of metagenomic samples to determine community composition. We propose a statistical technique based on clique loglinear models and Bayes model averaging to identify microbial components in a metagenomic sample at various taxonomic levels that have significant associations. We describe the model class, a stochast...
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作者：Huang, Yen-Ning; Reich, Brian J.; Fuentes, Montserrat; Sankarasubramanian, A.
作者单位：North Carolina State University; Virginia Commonwealth University; North Carolina State University
摘要：Computer simulation models are central to environmental science. These mathematical models are used to understand complex weather and climate patterns and to predict the climate's response to different forcings. Climate models are of course not perfect reflections of reality, and so comparison with observed data is needed to quantify and to correct for biases and other deficiencies. We propose a new method to calibrate model output using observed data. Our approach not only matches the margina...
