Nonlinear Modeling And Forecasting - Rilegato

Casdagli, Martin; Eubank, Stephen

Rilegato

ISBN 10: 0201527642 ISBN 13: 9780201527643

Casa editrice: CRC Press, 1992

Riassunto

Based on a Santa Fe Institute and NATO sponsored workshop, this book brings together the ideas of leading researchers in the rapidly expanding, interdisciplinary field of nonlinear modeling 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 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. }

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Informazioni sull'autore

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.

Dettagli dell'edizione

• Editore: CRC Press
• Data di pubblicazione: 1992
• Lingua: Inglese
• ISBN 10: 0201527642
• ISBN 13: 9780201527643
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 560
• Contatto del produttore: non disponibile
• Persona responsabile: Simone Casetta; 0039 275422215; casetta@mondadori.it; ; Via Mondadori 1,; Segrate Milano; 20090; Italia