Extracting Knowledge From Time Series. An Introduction to Nonlinear Empirical Modeling

Автор(ы)

Bezruchko B.P, Smirnov D.A

Год

2010

Серия

Springer Series in Synergetics

ISBN

978-3-642-12600-0

Как сослаться (ГОСТ Р 7.0.5-2008)

В списке литературы

Bezruchko B. P., Smirnov D. A. Extracting Knowledge From Time Series. An Introduction to Nonlinear Empirical Modeling. — 2010. Копировать

В тексте

(Bezruchko B. P., Smirnov D. A. Extracting Knowledge From Time Series. An Introduction to Nonlinear Empirical Modeling. 2010) Копировать

Поиск по тексту издания

Другие тома серии «Springer Series in Synergetics»

• Advanced Synergetics. Instability Hierarchies of Self-Organizing Systems and Devices
• Asymptotic Approaches in Nonlinear Dynamics. New Trends and Applications
• Boundaries of a Complex World
• Brain Dynamics. An Introduction to Models and Simualtions
• Brain Dynamics. Synchronization and Activity Patterns in Pulse-Coupled Neural Nets with Delays and Noise
• Brain Function and Oscillations. I. Brain Oscillations. Principles and Approaches
• Brain Function and Oscillations. II. Integrative Brain Function. Neurophysiology and Cognitive Processes
• Brownian Agents and Active Particles. Collective Dynamics in the Natural and Social Sciences
• Chaotic Flows. Correlation effects and coherent structures
• Chemical Oscillations, Waves, and Turbulence
• Complex Hamiltonian Dynamics
• Concepts and Models of a Quantitative Sociology. The Dynamics of Interacting Populations
• Critical Phenomena in Natural Sciences. Chaos, Fractals, Selforganization and Disorder. Concepts and Tools
• Deterministic Nonlinear Systems. A Short Course
• Dimensions and Entropies in Chaotic Systems. Quantification of Complex Behavior
• Dissipative Solitons in Reaction Diffusion Systems. Mechanisms, Dynamics, Interaction
• Dynamics of Hierarchical Systems. An Evolutionary Approach
• Dynamics of Nonlinear Time-Delay Systems
• Foundations of Synergetics I. Distributed Active Systems
• Foundations of Synergetics II. Chaos and Noise
• From Cells to Societies. Models of Complex Coherent Action
• Information and Self-Organization. A Macroscopic Approach to Complex Systems
• Interfacial Wave Theory of Pattern Formation. Selection of Dendritic Growth and Viscous Fingering in Hele-Shaw Flow
• Noise-Induced Transitions. Theory and Applications in Physics, Chemistry, and Biology
• Nonequilibrium Phase Transitions in Semiconductors. Self-Organization Induced by Generation and Recombination Processes
• Nonlinear Dynamics of Chaotic and Stochastic Systems. Tutorial and Modern Developments
• Nonlinear Fokker-Planck Equations. Fundamentals and Applications
• Nonlinear Nonequilibrium Thermodynamics I. Linear and Nonlinear Fluctuation-Dissipation Theorems
• Nonlinear Nonequilibrium Thermodynamics II. Advanced Theory
• Nonlinear Resonances
• Nonlinear Waves and Solitons on Contours and Closed Surfaces
• Patterns and Interfaces in Dissipative Dynamics
• Permutation Complexity in Dynamical Systems. Ordinal Patterns, Permutation Entropy and All That
• Phase Resetting in Medicine and Biology. Stochastic Modelling and Data Analysis
• Physics of Bioenergetic Processes
• Principles of Brain Functioning. A Synergetic Approach to Brain Activity, Behavior and Cognition
• Quantum Signatures of Chaos
• Random Walks and Diffusions on Graphs and Databases. An Introduction
• Reaction–Transport Systems. Mesoscopic Foundations, Fronts, and Spatial Instabilities
• Relative Information. Theories and Applications
• Self-Organization and Clinical Psychology. Empirical Approaches to Synergetics in Psychology
• Self-Organization and the City
• Spatial Hysteresis and Optical Patterns
• Statistical Physics of Non-Thermal Phase Transitions. From Foundations to Applications
• Stochastic Foundations in Movement Ecology. Anomalous Diffusion, Front Propagation and Random Searches
• Stochasticity in Processes. Fundamentals and Applications to Chemistry and Biology
• Synchronization in Oscillatory Networks
• Synchronization. From Simple to Complex
• Synergetic Computers and Cognition. A Top-Down Approach to Neural Nets
• Synergetic Economics. Time and Change in Nonlinear Economics
• Synergetic Phenomena in Active Lattices. Patterns, Waves, Solitons, Chaos
• Synergetics of Measurement, Prediction and Control
• Synergetics of Molecular Systems
• Synergetics. An Introduction
• The Fokker-Planck Equation. Methods of Solution and Applications
• The Nonlinear World. Conceptual Analysis and Phenomenology
• Turbulence and Diffusion. Scaling Versus Equations
• Wavelets in Neuroscience