4期

最新文章

• IMPLICIT GENERATIVE PRIOR FOR BAYESIAN NEURAL NETWORKS AI翻译
  作者：Liu, Yijia; Wang, Xiao
  作者单位：Purdue University System; Purdue University
  摘要：Predictive uncertainty quantification is crucial for reliable decisionmaking in various applied domains. Bayesian neural networks offer a powerful framework for this task. However, defining meaningful priors and ensuring computational efficiency remain significant challenges, especially for complex real-world applications. This paper addresses these challenges by NA-EB leverages a class of implicit generative priors derived from lowdimensional distributions. This allows for efficient handling ...
• EARLY EFFECTS OF 2014 US MEDICAID EXPANSIONS ON MORTALITY: DESIGN-BASED INFERENCE FOR IMPACTS ON SMALL SUBGROUPS DESPITE SMALL-CELL SUPPRESSION AI翻译
  作者：Mann, Charlotte Z.; Hansen, Ben B.; Gaydosh, Lauren
  作者单位：University of Michigan System; University of Michigan; University of Texas System; University of Texas Austin
  摘要：Since 2014, states in the U.S. can choose whether to adopt Medicaid expansion as part of the Affordable Care Act (ACA), relaxing eligibility requirements. This heterogeneity in policy adoption between states raises the question-would there be a difference in health outcomes for states that have not expanded insurance access if they did expand Medicaid eligibility? In this study we estimate the effect of ACA Medicaid expansion on county-level allcause mortality in the U.S. in 2014 overall and f...
• INDIVIDUAL DYNAMIC PREDICTION FOR CURE AND SURVIVAL BASED ON LONGITUDINAL BIOMARKERS AI翻译
  作者：Xie, Can; Huang, Xuelin; Li, Ruosha; Tsodikov, Alexander; Bhalla, Kapil
  作者单位：University of Texas System; UTMD Anderson Cancer Center; University of Texas System; University of Texas Health Science Center Houston; University of Michigan System; University of Michigan; University of Texas System; UTMD Anderson Cancer Center
  摘要：To optimize personalized treatment strategies and extend patients' survival times, it is critical to accurately predict patients' prognoses at all stages, from disease diagnosis to follow-up visits. The longitudinal biomarker measurements during visits are essential for this prediction purpose. Patients' ultimate concerns are cure and survival. However, in many situations there is no clear biomarker indicator for cure. We propose a comprehensive joint model of longitudinal and survival data an...
• A BAYESIAN MODEL OF UNDERREPORTING FOR SEXUAL ASSAULT ON COLLEGE CAMPUSES AI翻译
  作者：Bradshaw, Casey; Blei, David M.
  作者单位：Columbia University
  摘要：In an effort to quantify and combat sexual assault, U.S. colleges and universities are required to disclose the number of reported sexual assaults on their campuses each year. However, many instances of sexual assault are never reported to authorities, and consequently, the number of reported assaults does not fully reflect the true total number of assaults that occurred; the reported values could arise from many combinations of reporting rate and true incidence. In this paper we estimate thes...
• BAYESIAN HIDDEN MARKOV MODEL FOR NATURAL HISTORY OF COLORECTAL CANCER: HANDLING MISCLASSIFIED OBSERVATIONS, VARYING OBSERVATION SCHEMES AND UNOBSERVED DATA AI翻译
  作者：Evala, Apeli; Einaevaara, Irpa; Arkeala, Ytti; Ulathinal, Angita
  作者单位：Finnish Cancer Registry; University of Helsinki
  摘要：Statistical modelling of individual-level event history data arising from varying observation schemes is a challenging problem, particularly due to unobserved and possibly misclassified individual states. Commonly used approaches rely on the hidden Markov models (HMM) to incorporate true underlying states. Each approach needs to account for the underlying data generating process and related external information and requires assumptions for estimation. This article develops a Bayesian HMM for n...
• MULTIPLE LATENT CLUSTERING MODEL FOR THE INFERENCE OF RNA LIFE-CYCLE KINETIC RATES FROM SEQUENCING DATA AI翻译
  作者：Mastrantonio, Gianluca; Bibbona, Enrico; Furlan, Mattia
  作者单位：Polytechnic University of Turin; Istituto Italiano di Tecnologia - IIT; Center for Genomic Science IIT
  摘要：We propose a hierarchical Bayesian model to infer RNA synthesis, processing, and degradation rates from time-course RNA sequencing data, based on an ordinary differential equation system that models the RNA life cycle. We parametrize the latent kinetic rates, which rule the system, with a novel functional form and estimate their parameters through three Dirichlet process mixture models. Owing to the complexity of this approach, we are able to simultaneously perform inference, clustering, and m...
• NEURAL NETWORKS FOR EXTREME QUANTILE REGRESSION WITH AN APPLICATION TO FORECASTING OF FLOOD RISK AI翻译
  作者：Pasche, Olivier C.; Engelke, Sebastian
  作者单位：University of Geneva
  摘要：Risk assessment for extreme events requires accurate estimation of high quantiles that go beyond the range of historical observations. When the risk depends on the values of observed predictors, regression techniques are used to interpolate in the predictor space. We propose the EQRN model that combines tools from neural networks and extreme value theory into a method capable of extrapolation in the presence of complex predictor dependence. Neural networks can naturally incorporate additional ...
• CAUSAL HEALTH IMPACTS OF POWER PLANT EMISSION CONTROLS UNDER MODELED AND UNCERTAIN PHYSICAL PROCESS INTERFERENCE AI翻译
  作者：Wikle, Nathan B.; Zigler, Corwin M.
  作者单位：University of Iowa; Brown University
  摘要：Causal inference with spatial environmental data is often challenging due to the presence of interference: outcomes for observational units depend on some combination of local and nonlocal treatment. This is especially relevant when estimating the effect of power plant emissions controls on population health, as pollution exposure is dictated by: (i) the location of point-source emissions as well as (ii) the transport of pollutants across space via dynamic physical-chemical processes. In this ...
• MULTIPLE CHANGE POINT DETECTION IN FUNCTIONAL DATA WITH APPLICATIONS TO BIOMECHANICAL FATIGUE DATA AI翻译
  作者：Bastian, Patrick; Basu, Rupsa; Dette, Holger
  作者单位：Ruhr University Bochum
  摘要：Injuries to the lower extremity joints are often debilitating, particularly for professional athletes. Understanding the onset of stressful conditions on these joints is, therefore, important in order to ensure prevention of injuries as well as individualised training for enhanced athletic performance. We study the biomechanical joint angles from the hip, knee and ankle for runners who are experiencing fatigue. The data is cyclic in nature and densely collected by body-worn sensors, which make...
• A NEW MULTIPLE-MEDIATOR MODEL MAXIMALLY UNCOVERING THE MEDIATION PATHWAY: EVALUATING THE ROLE OF NEUROIMAGING MEASURES IN AGE-RELATED COGNITIVE DECLINE AI翻译
  作者：Lee, Hwiyoung; Chen, Chixiang; Kochunov, Peter; Hong, L. Elliot; Chen, Shuo
  作者单位：University System of Maryland; University of Maryland Baltimore; University System of Maryland; University of Maryland Baltimore; University of Texas System; University of Texas Health Science Center Houston; Baylor College of Medicine; Baylor College Medical Hospital
  摘要：Aging changes brain functions and structures in a downward trajectory and consequently leads to a decline in neurocognitive performance. Our research is motivated by understanding whether and to what extent the ageeffect on cognitive decline can be explained by neuroimaging measures. We consider a new mediation model with age as an independent variable, while treating neuroimaging data and cognitive function as the multiple mediators and outcome, respectively. Given that the brain is the prima...