2025

最新文章

• PERIODOGRAM REGRESSION: A TWO-STAGE MIXED EFFECTS APPROACH FOR MODELLING MULTIPLE INTEGER-VALUED TIME SERIES OF TROPICAL CYCLONE FREQUENCY AI翻译
  作者：Zhang, Lyuyuan; Qian, Guoqi; Das, Sourav
  作者单位：University of Melbourne; James Cook University
  摘要：Tropical cyclones (TC) are significant indicators of evolving climate dynamics. Two primary responses of interest are the cyclone frequency and intensity. In this paper we propose a novel integrated modelling framework for simultaneous modelling of TC frequency across several meteorological regions within Australasia. The key methodological insight is to model the second-order properties of multiple integer-valued time series in frequency domain, instead of parametric time domain models. We ta...
• JOINT IDENTIFICATION OF SPATIALLY VARIABLE GENES VIA A NETWORK-ASSISTED BAYESIAN REGULARIZATION APPROACH AI翻译
  作者：Wu, Mingcong; Li, Yang; Ma, Shuangge; Wu, Mengyun
  作者单位：Renmin University of China; Renmin University of China; Yale University; Shanghai University of Finance & Economics
  摘要：Identifying genes that display spatial patterns is critical to investigating expression interactions within a spatial context and further dissecting biological understanding of complex mechanistic functionality. Despite the increase in statistical methods designed to identify spatially variable genes, they are mostly based on marginal analysis and share the limitation that the dependence (network) structures among genes are not well accommodated, where a biological process usually involves cha...
• KULLBACK-LEIBLER-BASED DISCRETE FAILURE TIME MODELS FOR INTEGRATION OF PUBLISHED PREDICTION MODELS WITH NEW TIME-TO-EVENT DATASET AI翻译
  作者：Wang, Di; Ye, Wen; Sung, Randall; Jiang, Hui; Taylor, Jeremy m. g.; Ly, Lisa; He, Kevin
  作者单位：University of Michigan System; University of Michigan; University of Michigan System; University of Michigan; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
  摘要：Prediction of time-to-event data often suffers from rare event rates, small sample sizes, high dimensionality, and low signal-to-noise ratios. Incorporating published prediction models from external large-scale studies is expected to improve the performance of prognosis prediction from internal individual-level data. However, existing integration approaches typically assume that the underlying distributions of the external and internal data sources are similar, which is often invalid. To accou...
• MUTUALLY EXCITING POINT PROCESSES FOR CROWDFUNDINGPLATFORM DYNAMICS AI翻译
  作者：Djorno, Alexandra; Crawford, Andforrest W.
  作者单位：Yale University
  摘要：Crowdfunding is a powerful tool for individuals or organizations seekingfinancial support from a vast audience. Despite widespread adoption, man-agers often lack information about dynamics of their platforms. Hawkes pro-cesses have been used to represent self-exciting phenomenon in a wide vari-ety of empirical fields but have not been applied to crowdfunding platformsin a way that could help managers understand user behaviors. In this paperwe extend the Hawkes process to capture important feat...
• JOINT IDENTIFICATION OF SPATIALLY VARIABLE GENES VIA A NETWORK-ASSISTED BAYESIAN REGULARIZATION APPROACH AI翻译
  作者：Wu, Mingcong; Li, Yang; Ma, Shuangge; Wu, Mengyun
  作者单位：Renmin University of China; Renmin University of China; Yale University; Shanghai University of Finance & Economics
  摘要：Identifying genes that display spatial patterns is critical to investigating expression interactions within a spatial context and further dissecting biological understanding of complex mechanistic functionality. Despite the increase in statistical methods designed to identify spatially variable genes, they are mostly based on marginal analysis and share the limitation that the dependence (network) structures among genes are not well accommodated, where a biological process usually involves cha...
• KULLBACK-LEIBLER-BASED DISCRETE FAILURE TIME MODELS FOR INTEGRATION OF PUBLISHED PREDICTION MODELS WITH NEW TIME-TO-EVENT DATASET AI翻译
  作者：Wang, Di; Ye, Wen; Sung, Randall; Jiang, Hui; Taylor, Jeremy m. g.; Ly, Lisa; He, Kevin
  作者单位：University of Michigan System; University of Michigan; University of Michigan System; University of Michigan; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
  摘要：Prediction of time-to-event data often suffers from rare event rates, small sample sizes, high dimensionality, and low signal-to-noise ratios. Incorporating published prediction models from external large-scale studies is expected to improve the performance of prognosis prediction from internal individual-level data. However, existing integration approaches typically assume that the underlying distributions of the external and internal data sources are similar, which is often invalid. To accou...
• MUTUALLY EXCITING POINT PROCESSES FOR CROWDFUNDINGPLATFORM DYNAMICS AI翻译
  作者：Djorno, Alexandra; Crawford, Andforrest W.
  作者单位：Yale University
  摘要：Crowdfunding is a powerful tool for individuals or organizations seekingfinancial support from a vast audience. Despite widespread adoption, man-agers often lack information about dynamics of their platforms. Hawkes pro-cesses have been used to represent self-exciting phenomenon in a wide vari-ety of empirical fields but have not been applied to crowdfunding platformsin a way that could help managers understand user behaviors. In this paperwe extend the Hawkes process to capture important feat...
• CLUSTERING AND META-ANALYSIS USING A MIXTURE OF DEPENDENT LINEAR TAIL-FREE PRIORS AI翻译
  作者：Flores, Bernardo; Muller, Peter
  作者单位：University of Texas System; University of Texas Austin
  摘要：We propose a novel nonparametric Bayesian approach for meta-analysis with event time outcomes. The model is an extension of linear dependent tail-free processes. The extension includes a modification to facilitate (conditionally) conjugate posterior updating and a hierarchical extension with a random partition of studies. The partition is formalized as a Dirichlet process mixture. The model development is motivated by a meta-analysis of cancer immunotherapy studies. The aim is to validate the ...
• INTEGRATIVE ECOLOGICAL REGRESSION ANALYSIS OF US COUNTY AND STATE LEVEL COVID-19 DEATH DATA FOR STUDYING HEALTH DISPARITY ASSOCIATIONS AI翻译
  作者：Li, Daniel; Lin, Xihong
  作者单位：Harvard University; Harvard T.H. Chan School of Public Health
  摘要：It is of substantial interest to study health disparity associations withCOVID-19 death rates. Although high-quality individual-level COVID-19epidemiological data have been difficult to collect on a national scale, allUnited States (U.S.) counties have reported total COVID-19 death counts.A standard ecological analysis would then regress county total death countsby county-level covariates such as age, sex, and race percentages. However,such an analysis is limited by ecological bias and fallacy...
• CONTOUR LOCATION FOR RELIABILITY IN AIRFOIL SIMULATION EXPERIMENTS USING DEEP GAUSSIAN PROCESSES AI翻译
  作者：Booth, Annie s.; Renganathan, S. ashwin; Gramacy, Robert b.
  作者单位：North Carolina State University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Virginia Polytechnic Institute & State University
  摘要：Bayesian deep Gaussian processes (DGPs) outperform ordinary GPs as surrogate models of complex computer experiments when response surface dynamics are nonstationary, which is especially prevalent in aerospace simulations. Yet DGP surrogates have not been deployed for the canonical downstream task in that setting: reliability analysis through contour location (CL). In that context we are motivated by a simulation of an RAE-2822 transonic airfoil which demarcates efficient and inefficient flight...