The Annals of Applied Statistics

最新文章

• MODELING NODE INCENTIVES IN DIRECTED NETWORKS AI翻译
  作者：Chakrabarti, Deepayan
  作者单位：University of Texas System; University of Texas Austin
  摘要：Twitter is a popular medium for individuals to gather information and express opinions on topics of interest to them. By understanding who is interested in what topics, we can gauge the public mood, especially during periods of polarization such as elections. However, while the total volume of tweets may be huge, many people tweet rarely, and tweets are short and often noisy. Hence, directly inferring topics from tweets is both complicated and difficult to scale. Instead, the network structure...
• VARIABLE SELECTION FOR A CATEGORICAL VARYING-COEFFICIENT MODEL WITH IDENTIFICATIONS FOR DETERMINANTS OF BODY MASS INDEX AI翻译
  作者：Gao, Jiti; Peng, Bin; Ren, Zhao; Zhang, Xiaohui
  作者单位：Monash University; University of Bath; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; University of Exeter
  摘要：Obesity has become one of the major public health issues during the last three decades. A considerable number of determinants have been proposed for body mass index (BMI) by a large range of studies from multiple disciplines. In addition, it is well documented that impacts of these determinants are varying across demographic groups. However, little is known about the relative importance of these potential determinants and the varying impacts of all relatively important determinants. Using the ...
• A STATISTICAL FRAMEWORK FOR DATA INTEGRATION THROUGH GRAPHICAL MODELS WITH APPLICATION TO CANCER GENOMICS AI翻译
  作者：Zhang, Yuping; Ouyang, Zhengqing; Zhao, Hongyu
  作者单位：University of Connecticut; University of Connecticut; Jackson Laboratory; University of Connecticut; Yale University
  摘要：Recent advances in high-throughput biotechnologies have generated various types of genetic, genomic, epigenetic, transcriptomic and proteomic data across different biological conditions. It is likely that integrating data from diverse experiments may lead to a more unified and global view of biological systems and complex diseases. We present a coherent statistical framework for integrating various types of data from distinct but related biological conditions through graphical models. Specific...
• MULTIVARIATE SPATIAL MAPPING OF SOIL WATER HOLDING CAPACITY WITH SPATIALLY VARYING CROSS-CORRELATIONS AI翻译
  作者：Messick, Rachel M.; Heaton, Matthew J.; Hansen, Neil
  作者单位：Brigham Young University
  摘要：Irrigation in agriculture mitigates the adverse effects of drought and improves crop production and yield. Still, water scarcity remains a persistent issue and water resources need to be used responsibly. To improve water use efficiency, precision irrigation is emerging as an approach where farmers can vary the application of water according to within field variation in soil and topographic conditions. As a precursor, methods to characterize spatial variation of soil hydraulic properties are n...
• SHAPE-CONSTRAINED UNCERTAINTY QUANTIFICATION IN UNFOLDING STEEPLY FALLING ELEMENTARY PARTICLE SPECTRA AI翻译
  作者：Kuusela, Mikael; Stark, Philip B.
  作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; University of California System; University of California Berkeley; University of Chicago
  摘要：The high energy physics unfolding problem is an important statistical inverse problem in data analysis at the Large Hadron Collider (LHC) at CERN. The goal of unfolding is to make nonparametric inferences about a particle spectrum from measurements smeared by the finite resolution of the particle detectors. Previous unfolding methods use ad hoc discretization and regularization, resulting in confidence intervals that can have significantly lower coverage than their nominal level. Instead of re...
• BAYESIAN NONHOMOGENEOUS MARKOV MODELS VIA POLYA-GAMMA DATA AUGMENTATION WITH APPLICATIONS TO RAINFALL MODELING AI翻译
  作者：Holsclaw, Tracy; Greene, Arthur M.; Robertson, Andrew W.; Smyth, Padhraic
  作者单位：University of California System; University of California Irvine; Columbia University
  摘要：Discrete-time hiddenMarkov models are a broadly useful class of latentvariable models with applications in areas such as speech recognition, bioinformatics, and climate data analysis. It is common in practice to introduce temporal nonhomogeneity into such models by making the transition probabilities dependent on time-varying exogenous input variables via a multinomial logistic parametrization. We extend such models to introduce additional nonhomogeneity into the emission distribution using a ...
• INFERENCE FOR SOCIAL NETWORK MODELS FROM EGOCENTRICALLY SAMPLED DATA, WITH APPLICATION TO UNDERSTANDING PERSISTENT RACIAL DISPARITIES IN HIV PREVALENCE IN THE US AI翻译
  作者：Krivitsky, Pavel N.; Morris, Martina
  作者单位：University of Wollongong; University of Washington; University of Washington Seattle
  摘要：Egocentric network sampling observes the network of interest from the point of view of a set of sampled actors, who provide information about themselves and anonymized information on their network neighbors. In survey research, this is often the most practical, and sometimes the only, way to observe certain classes of networks, with the sexual networks that underlie HIV transmission being the archetypal case. Although methods exist for recovering some descriptive network features, there is no ...
• STRUCTURED SUBCOMPOSITION SELECTION IN REGRESSION AND ITS APPLICATION TO MICROBIOME DATA ANALYSIS AI翻译
  作者：Wang, Tao; Zhao, Hongyu
  作者单位：Shanghai Jiao Tong University; Shanghai Jiao Tong University; Yale University
  摘要：Compositional data arise naturally in many practical problems and the analysis of such data presents many statistical challenges, especially in high dimensions. In this article, we consider the problem of subcomposition selection in regression with compositional covariates, where the relationships among the covariates can be represented by a tree with leaf nodes corresponding to covariates. Assuming that the tree structure is available as prior knowledge, we adopt a symmetric version of the li...
• SEMIPARAMETRIC COVARIATE-MODULATED LOCAL FALSE DISCOVERY RATE FOR GENOME-WIDE ASSOCIATION STUDIES AI翻译
  作者：Zablocki, Rong W.; Levine, Richard A.; Schork, Andrew J.; Xu, Shujing; Wang, Yunpeng; Fan, Chun C.; Thompson, Wesley K.
  作者单位：California State University System; San Diego State University; California State University System; San Diego State University; Claremont Colleges; Claremont Graduate University; University of California System; University of California San Diego; University of California System; University of California San Diego; University of Oslo; Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH); Lundbeckfonden
  摘要：While genome-wide association studies (GWAS) have discovered thousands of risk loci for heritable disorders, so far even very large meta-analyses have recovered only a fraction of the heritability of most complex traits. Recent work utilizing variance components models has demonstrated that a larger fraction of the heritability of complex phenotypes is captured by the additive effects of SNPs than is evident only in loci surpassing genome-wide significance thresholds, typically set at a Bonfer...
• RANDOM EFFECTS MODELS FOR IDENTIFYING THE MOST HARMFUL MEDICATION ERRORS IN A LARGE, VOLUNTARY REPORTING DATABASE AI翻译
  作者：Venturini, Sergio; Franklin, Jessica M.; Morlock, Laura; Dominici, Francesca
  作者单位：Bocconi University; Harvard University; Harvard University Medical Affiliates; Brigham & Women's Hospital; Harvard University; Harvard Medical School; Johns Hopkins University; Harvard University; Harvard T.H. Chan School of Public Health
  摘要：Medical errors are a major source of preventable morbidity, mortality and healthcare costs. Voluntary reporting systems are useful data sources that collect detailed information on the circumstances of medical errors occurring in hospitals. Identifying the characteristics of errors that frequently result in patient harm when they occur would allow investigators to prioritize among the many sources of potential errors and design targeted prevention strategies. In this paper, we use data from ME...