Journal of the American Statistical Association

最新文章

• Active Learning Through Sequential Design, With Applications to Detection of Money Laundering AI翻译
  作者：Deng, Xinwei; Joseph, V. Roshan; Sudjianto, Agus; Wu, C. F. Jeff
  作者单位：University System of Georgia; Georgia Institute of Technology; Bank of America Corporation
  摘要：Money laundering is a process designed to conceal the true origin of funds that were originally derived front illegal activities. Because money laundering often involves criminal activities, financial institutions have the responsibility to detect and report it to the appropriate government agencies in a timely manner. But the huge number of transactions occurring each day make detecting money laundering difficult. The usual approach adopted by financial institutions is to extract some summary...
• Regression Models for Identifying Noise Sources in Magnetic Resonance Images AI翻译
  作者：Zhu, Hongtu; Li, Yimei; Ibrahim, Joseph G.; Shi, Xiaoyan; An, Hongyu; Chen, Yashen; Gao, Wei; Lin, Weili; Rowe, Daniel B.; Peterson, Bradley S.
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill; New York State Psychiatry Institute; Columbia University
  摘要：Stochastic noise susceptibility artifacts, magnetic field and radiofrequency inhomogeneities, and other noise components in magnetic resonance images (MRIs) call introduce serious bias into any Measurements made with those images. We formally introduce three regression models including a Rician regression model and two associated normal models to characterize stochastic noise in various magnetic resonance imaging modalities, including diffusion-weighted imaging (DWI) and functional MRI (fMRI)....
• A Spatio-Temporal Model for Mean, Anomaly, and Trend Fields of North Atlantic Sea Surface Temperature Rejoinder AI翻译
  作者：Lemos, R. T.; Sanso, B.
  作者单位：Universidade de Lisboa; Universidade de Lisboa; University of California System; University of California Santa Cruz
• A Case Study in Exploratory Functional Data Analysis: Geometrical Features of the Internal Carotid Artery AI翻译
  作者：Sangalli, Laura M.; Secchi, Piercesare; Vantini, Simone; Veneziani, Alessandro
  作者单位：Polytechnic University of Milan; Emory University
  摘要：This pilot study is a product of the AneuRisk Project, a scientific program that aims at evaluating the role of vascular geometry and hemodynamics in the pathogenesis of cerebral aneurysms. By means of functional data analyses, we explore the AneuRisk dataset to highlight the relations between the geometric features of the internal carotid artery, expressed by its radius profile and centerline curvature. and the aneurysm location. After introducing a new similarity index for functional data, w...
• A Bayesian Model for Cross-Study Differential Gene Expression Comment AI翻译
  作者：Fan, Xiaodan; Liu, Jun S.
  作者单位：Chinese University of Hong Kong; Harvard University
• A Bayesian Model for Cross-Study Differential Gene Expression Rejoinder AI翻译
  作者：Scharpf, Robert B.; Tjelmeland, Hakon; Parmigiani, Giovanni; Nobel, Andrew B.
  作者单位：Norwegian University of Science & Technology (NTNU); Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health; Johns Hopkins University; Johns Hopkins Medicine; University of North Carolina; University of North Carolina Chapel Hill
• Nonparametric Prediction in Measurement Error Models Comment AI翻译
  作者：Staudenmayer, John
  作者单位：University of Massachusetts System; University of Massachusetts Amherst
• Modeling and Inference for Measured Crystal Orientations and a Tractable Class of Symmetric Distributions for Rotations in Three Dimensions AI翻译
  作者：Bingham, Melissa A.; Nordman, Daniel J.; Vardeman, Stephen B.
  作者单位：University of Wisconsin System; Iowa State University; Iowa State University
  摘要：Electron backscatter diffraction (EBSD) is a technique used in materials science to study the microtexture of metals, producing data that measure the orientations of crystals in a specimen. We examine the precision of such data based on a useful class of distributions on orientations in three dimensions (as represented by 3 x 3 orthogonal matrices with positive determinants). Although such modeling has received attention in the statistical literature, the approach taken typically has been base...
• A Bayesian Hierarchical Nonoverlapping Random Disc Growth Model AI翻译
  作者：Micheas, Athanasios C.; Wikle, Christopher K.
  作者单位：University of Missouri System; University of Missouri Columbia
  摘要：A methodology is proposed to efficiently model a random set via a multistage hierarchical Bayesian model. We define a NonOverlapping Random Disk Model (NORDM), which is similar in spirit to the well-known Poisson-Boolean model. This model is formulated in a conditional setting that facilitates Bayesian sampling of important parameters in the model. This framework can accommodate any object, not just those with disk shapes, although the model can be easily extended to include any known compact ...
• Modeling Spatiotemporal Forest Health Monitoring Data AI翻译
  作者：Augustin, Nicole H.; Musio, Monica; von Wilpert, Klaus; Kublin, Edgar; Wood, Simon N.; Schumacher, Martin
  作者单位：University of Bath; University of Cagliari; University of Freiburg
  摘要：Forest health monitoring schemes were set Lip across Europe in the 1980s in response to concerns about air pollution-related forest dieback (Waldsterben) and have continued since then. Recent threats to forest health are climatic extremes likely due to global climate change and increased ground ozone levels and nitrogen deposition. We model yearly data on tree crown defoliation, an indicator of tree health, from a monitoring survey carried Out in Baden-Wurttemberg, Germany since 1983. On a cha...