COMPSTAT: Proceedings in Computational Statistics 13th Symposium held in Bristol, Great Britain, 1998

Roger Payne

Peter Green

This Volume contains the Keynote, Invited and Full Contributed papers presented at COMPSTAT'98. A companion volume (Payne & Lane, 1998) contains papers describing the Short Communications and Posters. COMPSTAT is a one-week conference held every two years under the auspices of the International Association of Statistical Computing, a section of the International Statistical Institute. COMPSTAT'98 is organised by IACR-Rothamsted, IACR-Long Ashton, the University of Bristol Department of Mathematics and the University of Bath Department of Mathematical Sciences. It is taking place from 24-28 August 1998 at University of Bristol. Previous COMPSTATs (from 1974-1996) were in Vienna, Berlin, Leiden, Edinburgh, Toulouse, Prague, Rome, Copenhagen, Dubrovnik, Neuchatel, Vienna and Barcelona. The conference is the main European forum for developments at the interface between statistics and computing. This was encapsulated as follows in the COMPSTAT'98 Call for Papers. 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 implementation 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.

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Cuprins

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 Models.- Exploratory 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 within 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-Classification Analysis of Contingency 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 ExperimentalComparison.- A Visual Environment for Designing Experiments.- Essay of a Dynamic Regression by Principal Components Model for Correlated Time Series.- Traffic Models for Telecommunication.- Construction of Non-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 Threshold 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 Applications: An Example Using STABLE.- On Multiple Window Local Polynomial Approximation with Varying Adaptive Bandwidths.- 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 Linear 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.- DataImputation 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 Monotone Regression Splines and Smoothed Bootstrapping in Survival Analysis.- Comparing the Fits of Non-Nested Non-Linear Models.- The Deepest Fit.- Partially Linear Models: A New Algorithm and some Simulation Results.- Induction of Graphical Models from Incomplete Samples.- Locally and Bayesian Optimal Designs for Binary Dose-Response Models with Various Link Functions.- Statistics Training and the Internet.- Jointly Modelling Longitudinal and Survival Data.- Representing Solar Active Regions with Triangulations.- A General Form for Specification of Correlated Error Models, with Allowance for Heterogeneity.- Exploratory Data Analysis with Linked Dotplots and Histograms.- An Object-Oriented Approach to Local Computation in Bayes Linear Belief Networks.- Index of Authors.- Index of Keywords.