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Journal of Computational & Graphical Statistics articles from March 2003

254 total articles

Quarterly journal providing data, analysis, and surverys regarding use of computational and graphical methods in data and statistcs analysis.

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Journal of Computational & Graphical Statistics archives from March 2003

Nonparametric convergence assessment for MCMC model selection.(Markov chain Monte Carlo algorithms)
March 1, 2003... This article considers the problem of assessing the performance of MCMC model selection algorithms using a variety of nonparametric techniques. We consider a wide range of model selection problems to which MCMC model selection may be applied...

Bayesian variable selection and model averaging in high-dimensional multinomial nonparametric regression.
March 1, 2003... This article presents a Bayesian method for estimating nonparametrically a high-dimensional multinomial regression model. The regression functions are expressed as sums of main effects and interactions and our approach is able to select the...

Estimating mixtures of regressions.
March 1, 2003... This article shows how Bayesian inference for switching regression models and their generalizations can be achieved by the specification of loss functions which overcome the label switching problem common to all mixture models. We also derive...

Gossip: the architecture of spreadplots.
March 1, 2003... A spreadplot is a visualization that simultaneously shows several different views of a dataset or model. The individual views can be dynamic, can support high-interaction direct manipulation, and can be algebraically linked with each other,...

Feature extraction for nonparametric discriminant analysis.
March 1, 2003... In high-dimensional classification problems, one is often interested in finding a few important discriminant directions in order to reduce the dimensionality. Fisher's linear discriminant analysis (LDA) is a commonly used method. Although LDA...

Projection pursuit clustering for exploratory data analysis.
March 1, 2003... Exploratory projection pursuit is a set of data analytic techniques for finding "interesting" low-dimensional projections of multivariate data. One particular interesting structure is that of clusters in the data. Projection pursuit clustering...

Predicting Web users' next access based on log data.
March 1, 2003... This article considers models that describe how people browse the Web. We restrict our attention to navigation patterns within a single site, and base our study on standard Web server access logs. Given a visitor's previous activities on the...

Penalized survival models and frailty.
March 1, 2003... Interest in the use of random effects in the survival analysis setting has been increasing. However, the computational complexity of such frailty models has limited their general use. Although fitting frailty models has traditionally been...

Semi- and nonparametric modeling of ordinal data.
March 1, 2003... Parametric models for categorical ordinal response variables, like the proportional odds model or the continuation ratio model, assume that the predictor is given by a linear form of covariates. In this article the parametric models are...

Adaptive free-knot splines.
March 1, 2003... This article proposes a function estimation procedure using free-knot splines as well as an associated algorithm for implementation in nonparametric regression. In contrast to conventional splines with knots confined to distinct design points,...

Efficiency of Monte Carlo EM and simulated maximum likelihood in two-stage hierarchical models.
March 1, 2003... Likelihood estimation in hierarchical models is often complicated by the fact that the likelihood function involves an analytically intractable integral. Numerical approximation to this integral is an option but it is generally not recommended...

A panel data simultaneous equation model with a dependent categorical variable and selectivity.
March 1, 2003... This article develops a Bayesian Markov chain Monte Carlo algorithm to estimate a panel data simultaneous equations model with a dependent categorical variable and selectivity. In contrast with previous Bayesian analysis of selectivity models,...

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