-
作者：Chen, Lisha; Buja, Andreas
作者单位：Yale University; University of Pennsylvania
摘要：In the past decade there has been a resurgence of interest in nonlinear dimension reduction. Among new proposals are Local Linear Embedding, Isomap, and Kernel Principal Components Analysis which all construct global low-dimensional embeddings from local affine or metric information, We introduce a competing method called Local Multidimensional Scaling (LMDS). Like LLE, Isomap, and KPCA, LMDS constructs its global embedding from local information, but it uses instead a combination of MDS and f...
-
作者：Lemos, Ricardo T.; Sanso, Bruno
作者单位：Universidade de Lisboa; Universidade de Lisboa; University of California System; University of California Santa Cruz
摘要：We consider the problem of fitting a statistical model to 30 years of sea Surface temperature records collected over a large portion of the Northern Atlantic. The observations were collected sparsely in space and time with different levels of accuracy. The purpose of the model is to produce an atlas of oceanic properties, including climatological mean fields, estimates of historical trends, and a spatio-temporal reconstruction of the anomalies, i.e., the transient deviations from the climatolo...
-
作者：Liang, Hua; Li, Runze
作者单位：University of Rochester; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：This article focuses on variable selection for partially linear models when the covariates are measured with additive errors. We propose two classes of variable selection procedures, penalized least squares and penalized quantile regression, using the nonconvex penalized principle. The first procedure corrects the bias in the loss function caused by the measurement error by applying the so-called correction-for-attenuation approach, whereas the second procedure corrects the bias by using ortho...
-
作者：Smith, Richard L.; Tebaldi, Claudia; Nychka, Doug; Mearns, Linda O.
作者单位：University of North Carolina; University of North Carolina Chapel Hill; National Center Atmospheric Research (NCAR) - USA
摘要：Projections of future climate change caused by increasing greenhouse gases depend critically on numerical climate model, coupling the ocean and atmosphere (global climate models [GCMs]). However, different models differ substantially in their projections, which raises the question of how the different models can best be combined into a probability distribution of future climate change. For this analysis, we have collected both Current and future projected mean temperatures produced by nine cli...
-
作者：Carroll, Raymond J.; Delaigle, Aurore; Hall, Peter
作者单位：Texas A&M University System; Texas A&M University College Station; University of Bristol; University of Melbourne; University of California System; University of California Davis
摘要：Predicting the value of it variable Y corresponding to a future value of an explanatory variable X, based on a sample of previously observed independent data pairs (X-1, Y-1),...,(X-n, Y-n,) distributed like (X, Y), is very important in statistics. In the error-free case, where X is observed accurately, this problem is strongly related to that of standard regression estimation, since prediction of Y can be achieved via estimation of the regression Curve E(Y vertical bar X). When the observed X...
-
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...
-
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)....
-
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
-
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...
-
作者：Fan, Xiaodan; Liu, Jun S.
作者单位：Chinese University of Hong Kong; Harvard University
