COMPSTAT

1. Front Matter

   Pages I-XII

   PDF

2. Keynote Papers

   1. Front Matter

      Pages 1-1

      PDF

   2. Analysis of Clustered Multivariate Data from Developmental Toxicity Studies

      • Geert Molenberghs, Helena Geys, Lieven Declerck, Gerda Claeskens, Marc Aerts

      Pages 3-14

   3. Wavelets in Statistics: Some Recent Developments

      • Bernard W. Silverman

      Pages 15-26

3. Invited Papers

   1. Front Matter

      Pages 27-27

      PDF

   2. Mortality Pattern Prediction in Worker Cohorts

      • Kryštof Eben, Jiří Vondráček, Keith Binks

      Pages 29-40

   3. Design Algorithms for Correlated Data

      • J. Eccleston, B. Chan

      Pages 41-52

   4. (Co)Variance Structures for Linear Models in the Analysis of Plant Improvement Data

      • Arthur R. Gilmour, Brian R. Cullis, Alison B. Frensham, Robin Thompson

      Pages 53-64

   5. Optimal Scaling Methods for Graphical Display of Multivariate Data

      • Jacqueline J. Meulman

      Pages 65-76

   6. Computer—Assisted Statistics Teaching in Network Environments

      • Marlene Müller

      Pages 77-88

   7. Modelling Bacterial Genomes Using Hidden Markov Models

      • Florence Muri

      Pages 89-100

   8. MCMC Specifics for Latent Variable Models

      • Christian P. Robert

      Pages 101-112

   9. Exploratory Versus Decision Trees

      • Roberta Siciliano

      Pages 113-124

   10. Exploring Time Series Using Semi- and Nonparametric Methods

       • Dag Tjøstheim

       Pages 125-136

   11. Time Series Forecasting by Principal Component Methods

       • Mariano J. Valderrama, Ana M. Aguilera, Juan C. Ruiz-Molina

       Pages 137-146

4. Contributed Papers

   1. Front Matter

      Pages 147-147

      PDF

   2. A Simulation Study of Indirect Prognostic Classification

      • N. M. Adams, D. J. Hand, H. G. Li

      Pages 149-154

   3. Model Search: An Overview

      • Herman J. Adèr, Dirk J. Kuik, David Edwards

      Pages 155-160

   4. Speeding up the Computation of the Least Quartile Difference Estimator

      • José Agulló

      Pages 161-166

   5. Piece-wise Detection of Spinal Scoliosis

      • A. J. Baczkowski, X. Feng

      Pages 167-172

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.

• Approximation
• Internet
• Markov chain Monte Carlo
• algorithms
• applied statistics
• calculus
• complexity
• modeling
• sensitivity analysis
• simulation
• software
• statistical computing
• statistical method
• statistical theory
• statistics

• Statistics Department, IACR-Rothamsted, Harpenden, Herts, UK

  Roger Payne

• Department of Mathematics, University of Bristol, Bristol, UK

  Peter Green

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