Journal of Computational & Graphical Statistics articles from March 2002

Journal of Computational & Graphical Statistics archives from March 2002

Significance in scale space for bivariate density estimation. (Special Invited Article).
March 1, 2002... An important problem in the use of density estimation for data analysis is whether or not observed features, such as bumps, are "really them" as opposed to being artifacts of the natural sampling variability. Here we propose a solution to this...

Visual scalability.(managing massive datasets)(Statistical Data Included)
March 1, 2002... Visual scalability is the capability of visualization tools effectively to display large datasets, in terms of either the number or the dimension of individual data elements. This article defines and structures the problem of visual...

Compressing massive geophysical datasets using vector quantization.
March 1, 2002... This article presents a procedure for compressing massive geophysical datasets. A dataset is stratified geographically, and a penalized clustering algorithm applied to each stratum independently. The algorithm, called Monte Carlo extended ECVQ,...

Fast, resolution-consistent spatial prediction of global processes from satellite data.(Statistical Data Included)
March 1, 2002... Polar orbiting satellites remotely sense the earth and its atmosphere, producing datasets that give daily global coverage. For any given day, the data are many and measured at spatially irregular locations. Our goal in this article is to...

A brief history of the Mosaic display.(Statistical Data Included)
March 1, 2002... This article provides an illustrated history of the visual and conceptual ideas leading to the development of mosaic displays. We trace the origins of the use of rectangles and area to depict data quantities and their relations, of early forms...

Comparison of methods for image analysis on cDNA microarray data.
March 1, 2002... Microarrays are part of a new class of biotechnologies which allow the monitoring of expression levels for thousands of genes simultaneously. Image analysis is an important aspect of microarray experiments, one that can have a potentially large...

On methods of computer graphics for visualizing densities.
March 1, 2002... This article focuses on visualizing densities and density approximators. We develop the relationship between the isopleths, the gradient, and the surface normals for a density with two-dimensional support. We show that these form a trihedron....

Immersive projection technology for visual data mining.
March 1, 2002... The PlatoCAVE, the MiniCAVE, and the C2 are immersive stereoscopic projection-based virtual reality environments oriented toward group interactions. As such they are particularly suited to collaborative efforts in data analysis and visual data...

Bayesian inference for the negative binomial distribution via polynomial expansions.
March 1, 2002... To date, Bayesian inferences for the negative binomial distribution (NBD) have relied on computationally intensive numerical methods (e.g., Markov chain Monte Carlo) as it is thought that the posterior densities of interest are not amenable to...

Bayesian inference for the Beta-Binomial distribution via polynomial expansions.(Statistical Data Included)
March 1, 2002... A commonly used paradigm in modeling count data is to assume that individual counts are generated from a Binomial distribution, with probabilities varying between individuals according to a Beta distribution. The marginal distribution of the...

Bayesian inference in the noncentral Student-t model.
March 1, 2002... This article takes up Bayesian inference in linear models with disturbances from a noncentral Student-t distribution. The distribution is useful when both long tails and asymmetry are features of the data. The distribution can be expressed as a...

Difficulties in estimating the normalizing constant of the posterior for a neural network.
March 1, 2002... This article reviews a number of methods for estimating normalizing constants in the context of neural network regression. Model selection or model averaging within the Bayesian approach requires computation of the normalizing constant of the...

A combinatorial approach to piecewise linear time series analysis.
March 1, 2002... Over recent years, several nonlinear time series models have been proposed in the literature. One model that has found a large number of successful applications is the threshold autoregressive model (TAR). The TAR model is a piecewise linear...