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作者：Kolaczyk, ED; Ju, JC; Gopal, S
作者单位：Boston University; Boston University; Boston University
摘要：We consider a problem in image segmentation in which the goal is to determine and label a relatively small number of homogeneous subregions in an image scene, based on multivariate, pixelwise measurements. Motivated by current challenges in the field of remote sensing land cover characterization, we introduce a framework that allows for adaptive choice of both the spatial resolution of subregions and the categorical granularity of labels. Our framework is based on a class of models that we cal...
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作者：Feng, SB; Wolfe, RA; Port, FK
作者单位：Georgetown University; Georgetown University; University of Michigan System; University of Michigan
摘要：In a recent study of transplant outcomes, donor age, cerebrovascular accident as the cause of death (CVA), renal insufficiency (serum creatinine > 1.5 mg/dL), and history of hypertension have been identified as donor factors associated with elevated risk of kidney transplant failure. It is of great interest to know whether there remain other unmeasured donor factors associated with elevated risk of graft failure. In this article we study a sample of 6,024 deceased donor kidney transplants perf...
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作者：Zhang, HP
作者单位：Yale University; Jiangxi Normal University
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作者：Montanari, GE; Ranalli, MG
作者单位：University of Perugia
摘要：Calibration is commonly used in survey sampling to include auxiliary information at the estimation stage of a population parameter. Calibrating the observation weights on population means (totals) of a set of auxiliary variables implies building weights that when applied to the auxiliaries give exactly their population mean (total). Implicitly, calibration techniques rely on a linear relation between the survey variable and the auxiliary variables. However, when auxiliary information is availa...
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作者：Sabatti, C
作者单位：University of California System; University of California Los Angeles; University of California System; University of California Los Angeles
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作者：Naik, PA; Tsai, CL
作者单位：University of California System; University of California Davis; Peking University
摘要：Inverse regression methods facilitate dimension-reduction analyses of high-dimensional data by extracting a small number of factors that are linear combinations of the original predictor variables. But the estimated factors may not lend themselves readily to interpretation consistent with prior information. Our approach to solving this problem is to first incorporate prior information via theory- or data-driven constraints on model parameters, and then apply the proposed method, constrained in...
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作者：Taskinen, S; Oja, H; Randles, RH
作者单位：University of Jyvaskyla; Tampere University; State University System of Florida; University of Florida
摘要：New test statistics are proposed for testing whether two random vectors are independent. Gieser and Randles, as well as Taskinen, Kankainen, and Oja have introduced and discussed multivariate extensions of the quadrant test of Blomqvist. This article serves as a sequel to this work and presents new multivariate extensions of Kendall's tau and Spearman's rho statistics. Two different approaches are discussed. First, interdirection proportions are used to estimate the cosines of angles between c...
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作者：James, GM; Silverman, BW
作者单位：University of Southern California; University of Oxford
摘要：In this article we are interested in modeling the relationship between a scalar, Y, and a functional predictor, X(t). We introduce a highly flexible approach called functional adaptive model estimation (FAME), which extends generalized linear models (GLMs), generalized additive models (GAMs), and projection pursuit regression (PPR) to handle functional predictors. The FAME approach can model any of the standard exponential family of response distributions that are assumed for GLM or GAM while ...
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作者：Lahiri, P; Larsen, MD
作者单位：University System of Maryland; University of Maryland College Park; Iowa State University
摘要：Record linkage, or exact matching, can be used to join together two files that contain information on the same individuals but lack unique personal identification codes. The possibility of errors in linkage causes problems for estimating the relationships between variables on the two files. The effect is analogous to the impact of measurement error. A model of a linear regression relationship between variables in linked files is proposed. Assuming the probabilities that pairs of records are li...
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作者：Craig, BA
作者单位：Purdue University System; Purdue University
