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These proceedings contain the refereed Invited and Full Contributed papers from the COMPSTAT conference.
Statistical computing provides the link between statistical theory and applied statistics. The scientific programme of COMPSTAT ranges over all aspects of this link, from the development and implementaion of new computer-based statistical methodology through to innovative applications and software evaluation. The programme should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, research institutes or as software developers.
The Proceedings thus provide a broad overview of all currently-active research areas in statistical computing.
Keynote Papers: Analysis of Clustered Multivariate Data from Developmental Toxicity Studies; Wavelets in Statistics: Some Recent Developments.- Invited Papers: Mortality Pattern Prediction in Worker Cohorts; Design Algorithms for Correlated Data; (Co)Variance Structures for Linear Models in the Analysis of Plant Improvement Data; Optimal Scaling Methods for Graphical Display of Multivariate Data; Computer-assisted Statistics Teaching in Network Environments; Modelling Bacterial Genomes using Hidden Markov Models; MCMC Specifics for Latent Variable Methods; Exploritory versus Decision Trees; Exploring Time Series using Semi- and Nonparametric Methods; Time Series Forecasting by Principal Component Methods.- Contributed Papers: A Simulation Study of Indirect Prognostic Classification; Model Search: an Overview; Speeding up the Computation of the Least Quartile Difference Estimator; Piece-wise Detection of Spinal Scoliosis; A Comparison of Recent EM Accelerators with Item Response Theory; Gröbner Basis Methods in Polynomial Modelling; Analysis of High Dimensional Data from Intensive Care Medicine; Fitting Non-Gaussian Time Series Models; Using Singular Value Decomposition in Non-Linear Regression; A Modelling Approach for Bandwidth Selection in Kernel Density Estimation; A New Method for Cross-Classfication Analysis of Contigency Data Tables; Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring; An Alternative Pruning Method Based on the Impurity-Complexity Measure; Bayesian Inference for Mixture: The Label Switching Problem; Simulation of Multifractional Brownian Motion; Simulating Categorical Data from Spatial Models; Robust Factorization of a Data Matrix; Spatial Clustering Techniques: An Experimental Comparison; A Visual Environment for Designing Experiments; Essay of a Dynamic Regression by Principal Components Model for Correlated Time Series; Traffic Models for Telecommunication; Construction ofNon-Standard Row-Column Designs; Computational Statistics for Pharmacokinetic Data Analysis; Frailty Factors and Time-dependent Hazards in Modelling Ear Infections in Children using BASSIST; Algorithms for Robustified Error-in-Variables Problems; Idaresa - a Tool for Construction, Description and Use of Harmonised Datasets from National Surveys; LLAMA: an Object-Oriented System for Log Multiplicative Models; Using Treshold Accepting to Improve the Computation of Censored Quantile Regression; On the Convergence of Iterated Random Maps with Applications to the MCEM Algorithm; Parameter Estimators for Gaussian Models with Censored Time Series and Spatio-Temporal Data; Assessing the Multimodality of a Multivariate Distribution using Nonparametric Techniques; Bayesian Signal Restoration and Model Determination for Ion Channels; ARGUS, Software Packages for Statistical Disclosure Control; Building End-User Statistical Approaches: An Example Using STABLE; On Multiple Window Local Polynomial Approximation with Varying Adaptive Bandwidth; Minimization of Computational Cost in Tree-Based Methods by a Proper Ordering of Splits; Stable Multivariate Procedures - Strategies and Software Tools; An Alternating Method to Optimally Transform Variables in Projection Pursuit Regression; Predicting from Unbalanced Linear or Generalized Models; MCMC Solution to Circle Fitting in Analysis of RICH Detector Data; A Visual Future for Statistical Computing; Development of Statistical Software SAMMIF for Sensitivity Analysis in Multivariate Methods; Data Imputation and Nowcasting in the Environmental Sciences using Clustering and Connectionist Modelling; Graphical User Interface for Statistical Software using Internet; A Wavelet Approach to Functional Principal Component Analysis; Quasi-Monte Carlo EM Algorithm for MLEs in Generalized Linear Mixed Models; Applications of Smoothed Bootstrapping in Survival Analysis; Comparing the Fits of Non-Nested Non-Linear Models; The Deepest Fit; Partially