Journal of Computational & Graphical Statistics articles from March 2004

Journal of Computational & Graphical Statistics archives from March 2004

Visual comparison of datasets using mixture decompositions.
March 1, 2004... This article describes how a mixture of two densities, [f.sub.0] and [f.sub.1], may be decomposed into a different mixture consisting of three densities. These new densities, [f.sub.+], [f.sub.-], and [f.sub.=], summarize differences between...

Simultaneous posterior probability statements from Monte Carlo output.
March 1, 2004... This article considers the problem of making simultaneous probability statements in multivariate inferential problems based on samples from a posterior distribution. The calculation of simultaneous credible bands is reviewed and--as an...

Quantile-quantile plot for deviance residuals in the generalized linear model.
March 1, 2004... The normal quantile-quantile (Q-Q) plot of residuals is a popular diagnostic tool for ordinary linear regression with normal errors. However, for some generalized linear regression models, the distribution of deviance residuals may be very far...

An EM algorithm for estimating equations.
March 1, 2004... This article presents an algorithm for accommodating missing data in situations where a natural set of estimating equations exists for the complete data setting. The complete data estimating equations can correspond to the score functions from...

Generalized cross-validation for bandwidth selection of backfitting estimates in generalized additive models.
March 1, 2004... This article presents a modified Newton method for minimizing multidimensional bandwidth selection for estimation in generalized additive models. The method is based on the generalized cross-validation criterion applied to backfitting...

Estimating a nonstationary spatial structure using simulated annealing.
March 1, 2004... During the past decade, a useful model for nonstationary random fields has been developed. This consists of reducing the random field of interest to isotropy via a bijective bi-continuous deformation of the index space. Then the problem...

Comparison of parametric and bootstrap approaches to obtaining confidence intervals for logspline density estimation.
March 1, 2004... In earlier articles, we developed an automated methodology for using cubic splines with tail linear constraints to model the logarithm of a univariate density function. This methodology was subsequently modified so that the knots were...

On algorithms for the nonparametric maximum likelihood estimator of the failure function with censored data.
March 1, 2004... In this article, we study algorithms for computing the nonparametric maximum likelihood estimator (NPMLE) of the failure function with two types of censored data: doubly censored data and (type 2) interval-censored data. We consider two...

Bayesian variable selection and the Swendsen-Wang algorithm.
March 1, 2004... The need to explore model uncertainty in linear regression models with many predictors has motivated improvements in Markov chain Monte Carlo sampling algorithms for Bayesian variable selection. Currently used sampling algorithms for Bayesian...

A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model.
March 1, 2004... This article proposes a split-merge Markov chain algorithm to address the problem of inefficient sampling for conjugate Dirichlet process mixture models. Traditional Markov chain Monte Carlo methods for Bayesian mixture models, such as Gibbs...

Bayesian P-splines.
March 1, 2004... P-splines are an attractive approach for modeling nonlinear smooth effects of covariates within the additive and varying coefficient models framework. In this article, we first develop a Bayesian version for P-splines and generalize in a second...

Nonparametric Bayesian assessment of the order of dependence for binary sequences.
March 1, 2004... This article discusses inference on the order of dependence in binary sequences. The proposed approach is based on the notion of partial exchangeability of order k. A partially exchangeable binary sequence of order k can be represented as a...

Likelihood estimation and inference for the autologistic model.
March 1, 2004... The autologistic model is commonly used to model spatial binary data on the lattice. However, if the lattice size is too large, then exact calculation of its normalizing constant poses a major difficulty. Various different methods for...

Emacs speaks statistics: a multiplatform, multipackage development environment for statistical analysis.
March 1, 2004... Computer programming is an important component of statistical research and data analysis. It is a necessary skill for using sophisticated statistical packages and for writing custom scripts and software to perform data analysis using modern...

Recent publications in JSS.
March 1, 2004... The following abstracts come from papers recently accepted to the Journal of Statistical Software (JSS). JSS is free; code and papers may be downloaded at no cost. Code means source code, not binaries, so that algorithms may be easily...