2期

最新文章

• LARGE-SCALE MULTIPLE INFERENCE OF COLLECTIVE DEPENDENCE WITH APPLICATIONS TO PROTEIN FUNCTION AI翻译
  作者：Jernigan, Robert; Jia, Kejue; Ren, Zhao; Zhou, Wen
  作者单位：Iowa State University; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Colorado State University System; Colorado State University Fort Collins
  摘要：Measuring the dependence of k >= 3 random variables and drawing inference from such higher-order dependences are scientifically important yet challenging. Motivated here by protein coevolution with multivariate categorical features, we consider an information theoretic measure of higher-order dependence. The proposed collective dependence is a symmetrization of differential interaction information which generalizes the mutual information of a pair of random variables. We show that the collecti...
• A COVARIANCE-ENHANCED APPROACH TO MULTITISSUE JOINT EQTL MAPPING WITH APPLICATION TO TRANSCRIPTOME-WIDE ASSOCIATION STUDIES AI翻译
  作者：Molstad, Aaron J.; Sun, Wei; Hsu, Li
  作者单位：State University System of Florida; University of Florida; Fred Hutchinson Cancer Center
  摘要：Transcriptome-wide association studies based on genetically predicted gene expression have the potential to identify novel regions associated with various complex traits. It has been shown that incorporating expression quantitative trait loci (eQTLs) corresponding to multiple tissue types can improve power for association studies involving complex etiology. In this article we propose a new multivariate response linear regression model and method for predicting gene expression in multiple tissu...
• INFERENCE OF LARGE MODIFIED POISSON-TYPE GRAPHICAL MODELS: APPLICATION TO RNA-SEQ DATA IN CHILDHOOD ATOPIC ASTHMA STUDIES AI翻译
  作者：Zhang, Rong; Ren, Zhao; Celedon, Juan C.; Chen, Wei
  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：Recent advances in next-generation sequencing technology have yielded huge amounts of transcriptomic data. The discreteness and the high dimensions of RNA-seq data have posed great challenges in biological network analysis. Although estimation theories for high-dimensional modified Poisson-type graphical models have been proposed for the network analysis of count-valued data, the statistical inference of these models is still largely unknown. We herein propose a two-step procedure in both edge...
• TWO-WAY SPARSITY FOR TIME-VARYING NETWORKS WITH APPLICATIONS IN GENOMICS AI翻译
  作者：Bartlett, Thomas E.; Kosmidis, Ioannis; Silva, Ricardo
  作者单位：University of London; University College London; University of Warwick; Alan Turing Institute
  摘要：We propose a novel way of modelling time-varying networks by inducing two-way sparsity on local models of node connectivity. This two-way sparsity separately promotes sparsity across time and sparsity across variables (within time). Separation of these two types of sparsity is achieved through a novel prior structure which draws on ideas from the Bayesian lasso and from copula modelling. We provide an efficient implementation of the proposed model via a Gibbs sampler, and we apply the model to...
• TENSOR-VARIATE FINITE MIXTURE MODELING FOR THE ANALYSIS OF UNIVERSITY PROFESSOR REMUNERATION AI翻译
  作者：Sarkar, Shuchismita; Melnykov, Volodymyr; Zhu, Xuwen
  作者单位：University System of Ohio; Bowling Green State University; University of Alabama System; University of Alabama Tuscaloosa
  摘要：There has been a long-standing interest in the analysis of university professor salary data. The vast majority of the publications on the topic employ linear regression models in an attempt to predict individual salaries. Indeed, the administration of any academic institution is interested in adequately compensating the faculty to attract and keep the best specialists available on the market. However, higher administration and legislators are not concerned with the matter of individual compens...
• ADDITIVE STACKING FOR DISAGGREGATE ELECTRICITY DEMAND FORECASTING AI翻译
  作者：Capezza, Christian; Palumbo, Iagio; Goude, Yannig; Wood, Simon N.; Fasiolo, Matteo
  作者单位：University of Naples Federico II; Electricite de France (EDF); University of Edinburgh; University of Bristol
  摘要：Future grid management systems will coordinate distributed production and storage resources to manage, in a cost effective fashion, the increased load and variability brought by the electrification of transportation and by a higher share of weather dependent production. Electricity demand forecasts at a low level of aggregation will be key inputs for such systems. We focus on forecasting demand at the individual household level, which is more challenging than forecasting aggregate demand, due ...
• PROBABILISTIC FORECASTING OF THE ARCTIC SEA ICE EDGE WITH CONTOUR MODELING AI翻译
  作者：Director, Hannah M.; Raftery, Adrian E.; Bitz, Cecilia M.
  作者单位：University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle
  摘要：Sea ice, or frozen ocean water, freezes and melts every year in the Arctic. Forecasts of where sea ice will be located weeks to months in advance have become more important as the amount of sea ice declines due to climate change, for maritime planning and other uses. Typical sea ice forecasts are made with ensemble models, physics-based models of sea ice and the surrounding ocean and atmosphere. This paper introduces Mixture Contour Forecasting, a method to forecast sea ice probabilistically u...
• CAUSAL MEDIATION ANALYSIS FOR SPARSE AND IRREGULAR LONGITUDINAL DATA AI翻译
  作者：Zeng, Shuxi; Rosenbaum, Stacy; Alberts, Susan C.; Archie, Elizabeth A.; Li, Fan
  作者单位：Duke University; University of Michigan System; University of Michigan; Duke University; Duke University; University of Notre Dame
  摘要：Causal mediation analysis seeks to investigate how the treatment effect of an exposure on outcomes is mediated through intermediate variables. Although many applications involve longitudinal data, the existing methods are not directly applicable to settings where the mediator and outcome are measured on sparse and irregular time grids. We extend the existing causal mediation framework from a functional data analysis perspective, viewing the sparse and irregular longitudinal data as realization...
• INFLECTION POINTS IN COMMUNITY-LEVEL HOMELESS RATES AI翻译
  作者：Glynn, Chris; Byrne, Thomas H.; Culhane, Dennis P.
  作者单位：Boston University; University of Pennsylvania
  摘要：Statistical models of community-level homeless rates typically assume a linear relationship to covariates. This linear model assumption precludes the possibility of inflection points in homeless rates-thresholds in quantifiable metrics of a community that, once breached, are associated with large increases in homelessness. In this paper we identify points of structural change in the relationship between homeless rates and community-level measures of housing affordability and extreme poverty. W...
• A HERMITE-GAUSSIAN BASED EXOPLANET RADIAL VELOCITY ESTIMATION METHOD AI翻译
  作者：Holzer, Parker H.; Cisewski-Kehe, Jessi; Fischer, Debra; Zhao, Lily
  作者单位：Yale University; University of Wisconsin System; University of Wisconsin Madison; Yale University
  摘要：As the first successful technique used to detect exoplanets orbiting distant stars, the radial velocity method aims to detect a periodic Doppler shift in a stellar spectrum due to the star's motion along the line sight. We introduce a new, mathematically rigorous approach to detect such a signal that accounts for the smooth functional relationship of neighboring wavelengths in the spectrum, minimizes the role of wavelength interpolation, accounts for heteroskedastic noise and easily allows for...