Journal of Computational & Graphical Statistics articles from June 2003

Journal of Computational & Graphical Statistics archives from June 2003

Accelerating computation in Markov random field models for spatial data via structured MCMC.
June 1, 2003... Spatial Poisson models for areal count data use nonstationary "intrinsic autoregressions," also often referred to as "conditionally autoregressive" (CAR) models. Bayesian inference for these models has generally involved using single parameter...

An evolutionary algorithm with applications to statistics.
June 1, 2003... Evolutionary algorithms are used to find maxima of functions. Their claim to fame is an ability to find a global maximum in the presence of local maxima. The computations do not require derivatives or convexity, but still may be fairly...

Monte Carlo methods for Bayesian analysis of survival data using mixtures of Dirichlet process priors.
June 1, 2003... Consider the model in which the data consist of possibly censored lifetimes, and one puts a mixture of Dirichlet process priors on the common survival distribution. The exact computation of the posterior distribution of the survival function is...

Bayesian growth curves using normal mixtures with nonparametric weights.
June 1, 2003... Reference growth curves estimate the distribution of a measurement as it changes according to some covariate, often age. We present a new methodology to estimate growth curves based on mixture models and splines. We model the distribution of...

Adaptive methods for spatial scan analysis via semiparametric mixture models.
June 1, 2003... Spatial scan density (SSD) estimation via mixture models is an important problem in the field of spatial statistical analysis and has wide applications in image analysis. The "borrowed strength" density estimation (BSDE) method via mixture...

Spline smoothing on surfaces.
June 1, 2003... This article presents a method for estimating functions on topologically and/or geometrically complex surfaces from possibly noisy observations. Our approach is an extension of spline smoothing, using a finite element method. The article has a...

Adaptive order selection for spline smoothing.
June 1, 2003... Computational methods are presented for spline smoothing that make it practical to compute smoothing splines of degrees other than just the standard cubic case. Specifically, an order n algorithm is developed that has conceptual and practical...

Reliability measures for local nodes assessment in classification trees.
June 1, 2003... Most of the modern developments with classification trees are aimed at improving their predictive capacity. This article considers a curiously neglected aspect of classification trees, namely the reliability of predictions that come from a...

A cheaper way to compute generalized cross-validation as a stopping rule for linear stationary iterative methods.
June 1, 2003... We apply generalized cross-validation (GCV) as a stopping rule for general linear stationary iterative methods for solving very large-scale, ill-conditioned problems. We present a new general formula for the influence operator for these methods...

Trimming tools in exploratory data analysis.
June 1, 2003... Exploratory graphical tools based on trimming are proposed for detecting main clusters in a given dataset. The trimming is obtained by resorting to trimmed k-means methodology. The analysis always reduces to the examination of real valued...

Outlier detections in autoregressive models.
June 1, 2003... This article proposes a new technique for detecting outliers in autoregressive models and identifying the type as either innovation or additive. This technique can be used without knowledge of the true model order, outlier location, or outlier...