Nonlinear Modeling and Forecasting: Proceedings of the Workshop on Nonlinear Modeling and Forecasting held September, 1990 in Santa Fe, New Mexico

CASDAGLI, Martin; EUBANK, Stephen (eds.)

ISBN 10: 0201527642 / ISBN 13: 9780201527643

Published by Addison-Wesley, Redwood City, CA, 1992

About this Item

A Proceedings Volume in the Santa Fe Institute Studies on the Sciences of Complexity. Proceedings Volume XII. xxiii, 533 p. 24 cm. Numerous figures and tables. Hardcover. Ink signature on front free endpaper.

Seller Inventory # 121213

Bibliographic Details

• Title: Nonlinear Modeling and Forecasting: Proceedings of the Workshop on Nonlinear Modeling and Forecasting held September, 1990 in Santa Fe, New Mexico
• Publisher: Addison-Wesley, Redwood City, CA
• Publication Date: 1992
• ISBN 10: 0201527642
• ISBN 13: 9780201527643
• Binding: Hardcover
• Condition: Near fine
• Seller catalogs:
  • Science

About this title

Synopsis

The interdisciplinary field of nonlinear modeling has grown rapidly over the last decade due to the increasing availability of computer resources, which allows for the collection of increasingly large data sets and the analysis of the data sets with numerically intensive algorithms. In addition, the field has also grown with the increasing recognition of the ubiquity and importance of the effects of nonlinear dynamics in the natural and social sciences.Based on a Santa Fe Institute and NATO sponsored workshop, this book brings together the ideas of leading researchers in this rapidly expanding, interdisciplinary field in an attempt to stimulate the cross-fertilization of ideas and the search for unifying themes. The central theme of the workshop was the construction of nonlinear models from time-series data. Approaches to this problem have drawn from the disciplines of multivariate function approximation and neural nets, dynamical systems and chaos, statistics, information theory, and control theory. Applications have been made to economics, mechanical engineering, meteorology, speech processing, biology, and fluid dynamics.The papers included discuss various approaches to nonlinear multivariate function approximation, statistical issues in time-series analysis, invariants associated with chaotic attractors, and extimation of invariants. Finally, the last seven papers discuss applications to a variety of time-series data using nonlinear modeling and forecasting ideas developed by the authors themselves.

About the Author

Martin Casdagli is currently working in the commercial sector. He received his Ph.D. in Mathematics from the University of Warwick and has subsequently held postdoctoral positions at the University of Arizona; Queen Mary College, London; and the Santa Fe Institute. Stephen Eubank is a cofounder of the Prediction Company in Santa Fe. He received his Ph.D. in Physics from the University of Texas at Austin and has subsequently held post-doctoral positions at the La Jolla Institute and at the Center for Nonlinear Studies and Theory Division at Los Alamos National Laboratory.