Optimal Design and Related Areas in Optimization and Statistics

  • Luc Pronzato
  • Anatoly Zhigljavsky
Part of the Springer Optimization and Its Applications book series (SOIA, volume 28)

Table of contents

  1. Front Matter
    Pages I-XV
  2. B. Torsney
    Pages 1-12
  3. R. Haycroft, L. Pronzato, H. P. Wynn, A. Zhigljavsky
    Pages 13-37
  4. L. Pronzato, H.P. Wynn, A. Zhigljavsky
    Pages 39-80
  5. A. Giovagnoli, J. Marzialetti, H. P. Wynn
    Pages 81-96
  6. G. Pistone, E. Riccomagno, M. P. Rogantin
    Pages 97-132
  7. P. E. Caines, R. Deardon, H. P. Wynn
    Pages 155-166
  8. Back Matter
    Pages 223-224

About this book

Introduction

This edited volume, dedicated to Henry P. Wynn, reflects his broad range of research interests, focusing in particular on the applications of optimal design theory in optimization and statistics. It covers algorithms for constructing optimal experimental designs, general gradient-type algorithms for convex optimization, majorization and stochastic ordering, algebraic statistics, Bayesian networks and nonlinear regression. Written by leading specialists in the field, each chapter contains a survey of the existing literature along with substantial new material.

 

This work will appeal to both the specialist and the non-expert in the areas covered. By attracting the attention of experts in optimization to important interconnected areas, it should help stimulate further research with a potential impact on applications.

Keywords

Bayesian networks SOIA algebraic statistics algorithms gradient-type algorithms linear optimization optimal design theory optimization

Editors and affiliations

  • Luc Pronzato
    • 1
  • Anatoly Zhigljavsky
    • 2
  1. 1.CNRS/Université de Nice Sophia Antipolis Laboratoire 13SBât Euclide, Les AlgorithmesSophia-Antipolis cedexFrance
  2. 2.Cardiff UniversitySchool of MathematicsCardiffUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-79936-0
  • Copyright Information Springer-Verlag New York 2009
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-79935-3
  • Online ISBN 978-0-387-79936-0
  • Series Print ISSN 1931-6828