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作者：Reiter, JP
作者单位：Duke University
摘要：When statistical agencies release microdata to the public, malicious users (intruders) may be able to link records in the released data to records in external databases. Releasing data in ways that fail to prevent such identifications may discredit the agency or, for some data, constitute a breach of law. To limit disclosures, agencies often release altered versions of the data; however, there usually remain risks of identification. This article applies and extends the framework developed by D...
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作者：Liao, JG; Qaqish, BF
作者单位：Rutgers University System; Rutgers University New Brunswick; Rutgers University Biomedical & Health Sciences; University of North Carolina; University of North Carolina Chapel Hill
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作者：Ruppert, D
作者单位：Cornell University
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作者：Machado, JAF; Silva, JMCS
作者单位：Universidade Nova de Lisboa; Universidade de Lisboa; Universidade de Lisboa
摘要：This article studies the estimation of conditional quantiles of counts. Given the discreteness of the data, some smoothness must be artificially imposed on the problem. We show that it is possible to smooth the data in a way that allows inference to be performed using standard quantile regression techniques. The performance and implementation of the estimators are illustrated by simulations and an application.
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作者：Tzeng, SL; Huang, HC; Cressie, N
作者单位：Academia Sinica - Taiwan; University System of Ohio; Ohio State University
摘要：This article considers a class of multiresolution tree-structured models that are spatially shifted versions of each other and proposes a new spatial-prediction method that averages over the optimal spatial predictors produced from members of this class of models. As a consequence, the resulting predicted surface is smooth, even when the predictors generated separately from individual multiresolution tree-structured models are not. We call the new predictor the multiresolution spatial (MURS) p...
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作者：Pavía-Miralles, JM
作者单位：University of Valencia
摘要：The 1990s was not the best of decades for electoral polls, with striking errors occurring in, among others, the British, French, and Spanish elections, including election night, when errors are more evident. This article proposes a model for predicting final election outcomes based on the consistency that polling stations show between elections. Using both past and incoming polling station vote proportions, the model produces continuously revised predictions. The method is validated predicting...
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作者：Horowitz, JL; Lee, S
作者单位：Northwestern University; University of London; London School Economics & Political Science; University College London
摘要：This article is concerned with estimating the additive components of a nonparametric additive quantile regression model. We develop an estimator that is asymptotically normally distributed with a rate of convergence in probability of n(-r/(2r+1)) when the additive components are r-times continuously differentiable for some r >= 2. This result holds regardless of the dimension of the covariates, and thus the new estimator has no curse of dimensionality. In addition, the estimator has an oracle ...
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作者：Qi, LH; Wang, CY; Prentice, RL
摘要：Missing covariate data are common in epidemiologic studies and disease prevention trials. In this article regression parameter estimation in the Cox proportional hazards model is considered when certain covariates are observed for all study subjects and other covariate data are collected only for a subset. The article presents both simple weighted and kernel-assisted fully augmented weighted estimators that use the partially incomplete data nonparametrically. We use nonparametric methods to es...
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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：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...
