Parameters
- 400 pages
- 14 hours of reading
More about the book
This book describes the state of the art in nonlinear dynamical reconstruction theory. The chapters are based upon a workshop held at the Isaac Newton Institute, Cambridge University, UK, in late 1998. The book's chapters present theory and methods topics by leading researchers in applied and theoretical nonlinear dynamics, statistics, probability, and systems theory. Features and * disentangling uncertainty and the predictability of nonlinear systems * achieving good nonlinear models * delay dynamics vs. statistics * introduction to Monte Carlo Methods for Bayesian Data Analysis * latest results in extracting dynamical behavior via Markov Models * data compression, dynamics and stationarity Professionals, researchers, and advanced graduates in nonlinear dynamics, probability, optimization, and systems theory will find the book a useful resource and guide to current developments in the subject.
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Nonlinear Dynamics and Statistics, Alistair I. Mees
- Language
- Released
- 2001
- Binding
- (Hardcover),
- Book condition
- Very Good
- Price
- €39.39
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- Title
- Nonlinear Dynamics and Statistics
- Language
- English
- Authors
- Alistair I. Mees
- Publisher
- Birkhäuser
- Released
- 2001
- Format
- Hardcover
- Pages
- 400
- ISBN10
- 0817641637
- ISBN13
- 9780817641634
- Series
- Categories
- Tags
- Science, Technology, Engineering, Artificial Intelligence, Behaviour, Ethology, Uncertainty, Data Analysis, Optimization, Modelling
- Description
- This book describes the state of the art in nonlinear dynamical reconstruction theory. The chapters are based upon a workshop held at the Isaac Newton Institute, Cambridge University, UK, in late 1998. The book's chapters present theory and methods topics by leading researchers in applied and theoretical nonlinear dynamics, statistics, probability, and systems theory. Features and * disentangling uncertainty and the predictability of nonlinear systems * achieving good nonlinear models * delay dynamics vs. statistics * introduction to Monte Carlo Methods for Bayesian Data Analysis * latest results in extracting dynamical behavior via Markov Models * data compression, dynamics and stationarity Professionals, researchers, and advanced graduates in nonlinear dynamics, probability, optimization, and systems theory will find the book a useful resource and guide to current developments in the subject.