437期

最新文章

• A region-based segmentation method for multichannel image data AI翻译
  作者：Bose, S; OSullivan, F
  作者单位：University of Washington; University of Washington Seattle
  摘要：Segmentation has become a widely used tool in modern image analysis. Typical methods are highly nonlinear and often ad hoc, and none so far have proved accessible to detailed statistical analysis even by asymptotic approximations. Can such methods be any good? This article describes a segmentation procedure for multichannel image data and attempts to develop an understanding of its statistical performance characteristics in terms of nonparametric regression. The procedure is based on a recursi...
• Hybrid adaptive splines AI翻译
  作者：Luo, Z; Wahba, G
  作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; University of Wisconsin System; University of Wisconsin Madison
  摘要：An adaptive spline method for smoothing is proposed that combines features from both regression spline and smoothing spline approaches. One of its advantages is the ability to vary the amount of smoothing in response to the inhomogeneous ''curvature'' of true functions at different locations. This method can be applied to many multivariate function estimation problems, which is illustrated by an application to smoothing temperature data on the globe. The method's performance in a simulation st...
• Aligning estimates for common variables in two or more sample surveys AI翻译
  作者：Renssen, RH; Nieuwenbroek, NJ
  摘要：In practice, for many sample surveys the estimates of several population totals are based on one set of weights, which reproduces the known population totals of auxiliary variables. Such a set can always be obtained by using the general regression estimator. If some variables, not necessarily with known population totals, are jointly collected in two sample surveys, then it may be desirable that the weights of both surveys produce the same estimates for the unknown population totals of the com...
• On the variability of case-deletion importance sampling weights in the Bayesian linear model AI翻译
  作者：Peruggia, M
  摘要：I consider a standard specification of the Bayesian linear model and derive necessary and sufficient conditions for the variance of the case-deletion importance sampling weights to be finite. The conditions have an intuitive interpretation in terms of familiar frequentist measures of leverage and influence and are easy to verify. I present two real data examples in which the necessary conditions fail to hold for some observations and the corresponding importance sampling estimates are highly u...
• Bayesian model averaging for linear regression models AI翻译
  作者：Raftery, AE; Madigan, D; Hoeting, JA
  作者单位：Colorado State University System; Colorado State University Fort Collins
  摘要：We consider the problem of accounting for model uncertainty in linear regression models. Conditioning on a single selected model ignores model uncertainty, and thus leads to the underestimation of uncertainty when making inferences about quantities of interest. A Bayesian solution to this problem involves averaging over all possible models (i.e., combinations of predictors) when making inferences about quantities of interest. This approach is often not practical. In this article we offer two a...
• Bounded influence estimation in the mixed linear model AI翻译
  作者：Richardson, AM
  摘要：Bounded influence estimation (also known as generalized M or GM estimation) in the regression model is reviewed. The definitions of bounded influence estimation proposed by Mallows and Schweppe are then extended to the mixed linear model. This is achieved by applying appropriate weight functions to maximum likelihood and restricted maximum likelihood estimating equations. The asymptotic properties of the new estimators are obtained, and the estimators are applied to an artificial dataset. The ...
• Inference of vector autoregressive models with cointegration and scalar components AI翻译
  作者：Ahn, SK
  作者单位：Pohang University of Science & Technology (POSTECH)
  摘要：For the partially nonstationary vector autoregressive model of Ahn and Reinsel, I further assume that the first differenced series has scalar components of lower order and study estimation of these models along with asymptotic properties of the estimators. It is shown that Gaussian reduced rank estimation can be easily carried out by simple modification of the Ahn and Reinsel's method. The asymptotic distribution for the estimator of the nonstationary parameter is a locally asymptotically mixe...
• A voyage of discovery AI翻译
  作者：Billard, L
• Latent variable models for teratogenesis using multiple binary outcomes AI翻译
  作者：Legler, JM; Ryan, LM
  作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute
  摘要：Multiple outcomes are commonly measured in:the study of birth defects. The reason is that most teratogens do not cause a single, uniquely defined defect, but rather result in a range of effects, including major malformations, minor anomalies, and deficiencies in birth weight, length and head circumference. The spectrum of effects associated with a particular teratogen is sometimes described as a ''syndrome.'' In this article we develop a latent variable model to characterize exposure effects o...
• Optimum partition procedures for separating good and bad treatments AI翻译
  作者：Giani, G; Strassburger, K
  摘要：This article considers partitioning a given set of competing treatments into two subsets with the purpose of separating good and bad treatments. (The:qualities ''good'' and ''bad'' are defined in terms of the parameter vector of the underlying distribution family.) Regarding the probability of an incorrect partition, within the class of so-called natural procedures minimax solutions are derived under suitable distributional assumptions. These results extend previous investigations to the large...