Journal of Computational & Graphical Statistics articles from December 2004

Journal of Computational & Graphical Statistics archives from December 2004

Exploratory data analysis for complex models.(Discussion Article)
December 1, 2004... "Exploratory" and "confirmatory" data analysis can both be viewed as methods for comparing observed data to what would be obtained under an implicit or explicit statistical model. For example, many of Tukey's methods can be interpreted as...

Discussion.(Discussion Article)
December 1, 2004... Gelman's article is a thought-provoking mix of opinions and creative methodology. I agree with Gelman that the disjunction of models and exploratory data analysis (EDA) in mainstream statistics is unsound. The assumption that models belong...

Rejoinder.(Discussion Article)
December 1, 2004... I appreciate Buja's generous comments and will briefly clarify some issues regarding the role of data visualization in model checking, and the relevance of Bayesian inference to model checking. 1. DATA VISUALIZATION My article presents...

Clustering visualizations of multidimensional data.
December 1, 2004... Many graphical methods for displaying multivariate data consist of arrangements of multiple displays of one or two variables: scatterplot matrices and parallel coordinates plots are two such methods. In principle these methods generalize to...

CARTscans: a tool for visualizing complex models.
December 1, 2004... We present CARTscans, a graphical tool that displays predicted values across a four-dimensional subspace. We show how these plots are useful for understanding the structure and relationships between variables in a wide variety of models,...

LOTUS: an algorithm for building accurate and comprehensible logistic regression trees.
December 1, 2004... Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are present. Besides, it is hard to judge model...

Deconvolution of sparse positive spikes.
December 1, 2004... Deconvolution is usually regarded as one of the ill-posed problems in applied mathematics if no constraints on the unknowns are assumed. This article discusses the idea of well-defined statistical models being a counterpart of the notion of...

Evolutionary simulated annealing with application to image restoration.
December 1, 2004... Simulated annealing is a randomized algorithm proposed for finding a global optimum in large problems where a target function may have many local extrema. This article considers a modification of the simulated annealing algorithm that turns it...

Statistical simulations on parallel computers.
December 1, 2004... The potential benefits of parallel computing for time-consuming statistical applications are well known, but have not been widely realized in practice, perhaps in part due to associated technical obstacles. This article develops a simple...

Population Monte Carlo.
December 1, 2004... Importance sampling methods can be iterated like MCMC algorithms, while being more robust against dependence and starting values. The population Monte Carlo principle consists of iterated generations of importance samples, with importance...

Asymmetric linear dimension reduction for classification.
December 1, 2004... This article discusses methods to project a p-dimensional dataset with classified points from s known classes onto a lower dimensional hyperplane so that the classes appear optimally separated. Such projections can be used, for example, for...

Weber correspondence analysis: the one-dimensional case.
December 1, 2004... 1. INTRODUCTION Correspondence analysis or CA can be interpreted as a technique for drawing weighted bipartite graphs (Michailidis and de Leeuw 2001). In the adjacency matrix of the bipartite graph we can restrict our attention to the...

Feature significance in geostatistics.
December 1, 2004... Geographically referenced data are routinely smoothed using kriging or spline methodology. Features in the resulting surface such as peaks, inclines, ridges, and valleys are often of interest. This article develops inference for the...

A diagnostic plot for estimating the tail index of a distribution.
December 1, 2004... The problem of estimating the tail index in heavy-tailed distributions is very important in many applications. We propose a new graphical method that deals with this problem by selecting an appropriate number of upper order statistics. We also...

A robust measure of skewness.
December 1, 2004... The asymmetry of a univariate continuous distribution is commonly measured by the classical skewness coefficient. Because this estimator is based on the first three moments of the dataset, it is strongly affected by the presence of one or more...