COMPSTAT [2000] : proceedings in computational statistics ; 14th symposium held in Utrecht, the Netherlands, 2000

Keynote papers.- The broad role of multiple imputation in statistical science.- Official Statistics: an estimation strategy for the IT-era.- Invited papers.- Bayesian model selection methods for nonnested models.- Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data.- GBMs: GLMs with bilinear terms.- Generalized calibration and application to weighting for non-response.- Methodological issues in data mining.- Practical data mining in a large utility company.- HGLMs for analysis of correlated non-normal data.- Bootstrapping impulse responses in VAR analyses.- An application of TRAMO-SEATS; model selection and out-of-sample performance. The Swiss CPI series.- Spreadsheets as tools for statistical computing and statistics education.- An algorithm for deepest multiple regression.- Non-proportional hazards models in survival analysis.- A spatio-temporal analysis of a field trial.- Contributed papers.- Principal component logistic regression.- Sieve bootstrap prediction intervals.- Clustering by maximizing a fuzzy classification maximum likelihood criterion.- Tree-based algorithms for missing data imputation.- MiPy: a system for generating multiple imputations.- A linear approximation to the wild bootstrap in specification testing.- The size of the largest nonidentifiable outlier as a performance criterion for multivariate outlier identification: the case of high-dimensional data.- The influence of data generation and imputation methods on the bias of factor analysis of rating scale data.- Model on a population and prediction on another one: a generalized discriminant rule.- Disclosure control on multi-way tables by means of the shuttle algorithm: extensions and experiments.- An MLE strategy for combining optimally pruned decision trees.-Semi-parametric models for data mining.- Preliminary estimation of ARFIMA models.- A collection of applets for visualizing statistical concepts.- Non-parametric regression and density estimation under control of modality.- Multivariate approaches for aggregate time series.- Some space-time models: an application to NO2 pollution in an urban area.- SLICE: generalised software for statistical data editing and imputation.- Improved PCB inspection: computational issues.- Optimization of the antithetic Gibbs sampler for Gaussian Markov random fields.- Computing zonoid trimmed regions of bivariate data sets.- Outlier resistant estimators for canonical correlation analysis.- Graphical and phase space models for univariate time series.- The use of the Tweedie distribution in statistical modelling.- Predictive dimension: an alternative defmition to embedding dimension.- Post-stratification to correct for nonresponse: classification of ZIP code areas.- Approximate Bayesian inference for simple mixtures.- Correlated INAR(1) process.- Confidence regions for stabilized multivariate tests.- Comparison of stationary time series using distribution-free methods.- Generation of Boolean classification rules.- A statistical package based on Pnuts.- Generalized regression trees.- Generalized linear mixed models: an improved estimating procedure.- The stochastic dimension in a dynamic GIS.- A robust version of principal factor analysis.- TESS: system for automatic seasonal adjustment and forecasting of time series.- The BADAME project.- Improving Statistics Canada’s cell suppression software (CONFID).- The multimedia project MM*STAT for teaching statistics.- Projection pursuit approach to robust canonical correlation analysis.- A fast algorithm for highly robust regression in datamining.- Optimal classification trees.- GAM spline algorithms: a direct comparison.- Markov Chain Monte Carlo methods for handling missing covariates in longitudinal mixed models.- Robust Bayesian classification.- Social science measurement by means of item response models.- Multivariate DLMs for forecasting financial time series, with application to the management of portfolios.- An algorithm for the multivariate Tukey median.- Analyzing and synthesizing information from a multiple-study database.- Bootstrapping neural discriminant model.- An improved algorithm for robust PCA.- Applying techniques of dynamic programming to sequential mastery testing.- The introduction of formal structure into the processing of statistical summary data.- Validation of association rules by interactive mosaic plots.- Optimality models for PRAM.- Dealing with real ordinal data: recent advances in analyzing tied, censored, and multivariate observations.- Testing for differences in location: a comparison of bootstrap methods in the small sample case.- Two principal points for location mixtures.- Vector splines and other vector smoothers.- Index of authors.- Index of keywords.