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• PROBABILISTIC HIV RECENCY CLASSIFICATION-A LOGISTIC REGRESSION WITHOUT LABELED INDIVIDUAL LEVEL TRAINING DATA AI翻译
  作者：Sheng, Ben; Li, Changcheng; Bao, Le; Li, Runze
  作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Dalian University of Technology
  摘要：Accurate HIV incidence estimation, based on individual recent infec-tion status (recent vs long-term infection), is important for monitoring the epidemic, targeting interventions to those at greatest risk of new infec-tion, and evaluating existing programs of prevention and treatment. Starting from 2015, the population-based HIV impact assessment (PHIA) individual -level surveys are implemented in the most-affected countries in sub-Saharan Africa. PHIA is a nationally-representative HIV-focuse...
• BAYESIAN CLASSIFICATION, ANOMALY DETECTION, AND SURVIVAL ANALYSIS USING NETWORK INPUTS WITH APPLICATION TO THE AI翻译
  作者：Josephs, Nathaniel; Lin, Lizhen; Rosenberg, Steven; Kolaczyk, Eric D.
  作者单位：Yale University; University of Notre Dame; Boston University
  摘要：While the study of a single network is well established, technological advances now allow for the collection of multiple networks with relative ease. Increasingly, anywhere from several to thousands of networks can be created from brain imaging, gene coexpression data, or microbiome measurements. And these networks, in turn, are being looked to as potentially powerful features to be used in modeling. However, with networks being non-Euclidean in nature, how best to incorporate them into standa...
• SPATIOTEMPORAL WILDFIRE MODELING THROUGH POINT PROCESSES WITH MODERATE AND EXTREME MARKS AI翻译
  作者：Koh, Jonathan; Pimont, Francois; Dupuy, Jean-Luc; Opitz, Thomas
  作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; University of Bern; INRAE; INRAE
  摘要：Accurate spatiotemporal modeling of conditions leading to moderate and large wildfires provides better understanding of mechanisms driving fireprone ecosystems and improves risk management. Here, we develop a joint model for the occurrence intensity and the wildfire size distribution, by combining extreme-value theory and point processes within a novel Bayesian hierarchical model, and use it to study daily summer wildfire data for the French Mediterranean basin during 1995-2018. The occurrence...
• MODELING PANELS OF EXTREMES AI翻译
  作者：Dupuis, Debbie J.; Engelke, Sebastian; Trapin, Luca
  作者单位：Universite de Montreal; HEC Montreal; University of Geneva; University of Bologna
  摘要：Extreme value applications commonly employ regression techniques to capture cross-sectional heterogeneity or time variation in the data. Estimation of the parameters of an extreme value regression model is notoriously challenging due to the small number of observations that are usually available in applications. When repeated extreme measurements are collected on the same individuals, that is, a panel of extremes is available, pooling the observations in groups can improve the statistical infe...
• CONTROL CHARTS FOR DYNAMIC PROCESS MONITORING WITH AN APPLICATION TO AIR POLLUTION SURVEILLANCE AI翻译
  作者：Xie, Xiulin; Qiu, Peihua
  作者单位：State University System of Florida; University of Florida
  摘要：Air pollution is a major global public health risk factor. Among all air pollutants, PM2.5 is especially harmful. It has been well demonstrated that chronic exposure to PM2.5 can cause many health problems, including asthma, lung cancer and cardiovascular diseases. To tackle problems caused by air pollution, governments have put a huge amount of resources to improve air quality and reduce the impact of air pollution on public health. In this effort it is extremely important to develop an air p...
• GENERALIZED THEME DICTIONARY MODELS FOR ASSOCIATION PATTERN DISCOVERY AI翻译
  作者：Yang, By yang; Deng, K. E.
  作者单位：Nankai University; Tsinghua University; Tsinghua University
  摘要：Discovering association patterns of items from a collection of baskets composed of different items is an important problem in various fields. Assum-ing that each basket is composed of themes of items randomly sampled from a theme dictionary, the theme dictionary model provides a general framework to achieve efficient association pattern discovery with statistical inference. This paper extends the original theme dictionary model by allowing more than one category of items in a basket and only p...
• GENERALIZED FIDUCIAL FACTOR: AN ALTERNATIVE TO THE BAYES FACTOR FOR FORENSIC IDENTIFICATION OF SOURCE PROBLEMS AI翻译
  作者：Williams, Jonathan P.; Ommen, Danica M.; Hannig, Jan
  作者单位：North Carolina State University; Iowa State University; University of North Carolina; University of North Carolina Chapel Hill; National Institute of Standards & Technology (NIST) - USA
  摘要：One formulation of forensic identification of source problems is to determine the source of trace evidence, for instance, glass fragments found on a suspect for a crime. The current state of the science is to compute a Bayes factor comparing the marginal distribution of measurements of trace evidence under two competing propositions for whether or not the unknown source evidence originated from a specific source. The obvious problem with such an approach is the ability to tailor the prior dist...
• MODEL SELECTION FOR MATERNAL HYPERTENSIVE DISORDERS WITH SYMMETRIC HIERARCHICAL DIRICHLET PROCESSES AI翻译
  作者：Ranzolini, Beatricef; Ljoi, Antoniol; Ruenster, Igorp
  作者单位：Agency for Science Technology & Research (A*STAR); A*STAR - Singapore Institute for Clinical Sciences (SICS); Bocconi University
  摘要：Hypertensive disorders of pregnancy occur in about 10% of pregnant women around the world. Though there is evidence that hypertension im-pacts maternal cardiac functions, the relation between hypertension and car-diac dysfunctions is only partially understood. The study of this relationship can be framed as a joint inferential problem on multiple populations, each corresponding to a different hypertensive disorder diagnosis, that combines multivariate information provided by a collection of ca...
• ANALYSIS OF PREFERENCES IN SOCIAL NETWORKS AI翻译
  作者：Gu, By Jiaqi; Yu, Philip L. H.
  作者单位：University of Hong Kong; Education University of Hong Kong (EdUHK)
  摘要：Health) in the United States during the 1994-95 school year, sampled high school students were asked to rank 17 romantic relationship activities in ideal chronological order and to nominate up to five male and five female best friends within the school. It is natural to see that the students' rank-order progression of social, romantic and sexual relationships may be influenced strongly by their peers or friends. So far, traditional ranking models do not account for such social network dependen...
• AN EXTENSION OF ESTIMATING EQUATIONS TO MODEL LONGITUDINAL MEDICAL COST TRAJECTORY WITH MEDICARE CLAIMS DATA LINKED TO SEER CANCER REGISTRY AI翻译
  作者：Wang, Shikun; Ning, Jing; Xu, Ying; Shih, Ya-Chen Tina; Shen, Yu; Li, Liang
  作者单位：Columbia University; University of Texas System; UTMD Anderson Cancer Center; University of Texas System; UTMD Anderson Cancer Center
  摘要：Insurance claims' data is an increasingly important health policy research resource, given its longitudinal assessment of cancer care clinical outcomes. Population-level information on medical cost trajectory from disease diagno-sis to terminal events, such as death, specifically interests policy makers. Es-timating the mean cost trajectory has statistical challenges. The shape of the trajectory is usually highly nonlinear with varying durations, depending on the diagnosis-to-death population ...