SS > NF reviews > Stephen G. Eubank

Books

(Nonlinear Modeling and Forecasting. 1992. With Martin Casdagli)

Papers/Articles

Using Surrogate Data to Detect Nonlinearity in Time Series. 1992. In Nonlinear Modeling and Forecasting
Testing for nonlinearity in time series: The method of surrogate data. 1992. In Coping with Chaos
Modeling chaotic systems. 1997. In Introduction to Nonlinear Physics
Introduction to dynamical systems. 1997. In Introduction to Nonlinear Physics
Probability, random processes, and the statistical description of dynamics. 1997. In Introduction to Nonlinear Physics

Books : reviews

Contents

• Alistair I. Mees.
Tesselations and Dynamical Systems

• Sara A. Solla.
Supervised Learning: A Theoretical Framework

• W. C. Mead, R. D. Jones, Y. C. Lee, C. W. Barnes, Gary William Flake, L. A. Lee, M. K. O'Rourke.
Prediction of Chaotic Time Series using CNLS-Net-Example: The Mackey-Glass Equation

• L. Stokbro, D. K. Umberger.
Forecasting with Weighted Maps

• Grace Wahba.
Multivariate Function and Operator Estimation, Based on Smoothing Splines and Reproducing Kernels

• Richard L. Smith.
Optimal Estimation of Fractal Dimension

• W. A. Brock, S. M. Potter.
Diagnostic Testing for Nonlinearity, Chaos, and General Dependence in Time-Series Data

• James Theiler, Bryan Galdrikian, Andre Longtin, Stephen G. Eubank, J. Doyne Farmer.
Using Surrogate Data to Detect Nonlinearity in Time Series

• Clive W. J. Granger, Timo Terasvirta.
Experiments in Modeling Nonlinear Relationships Between Time Series

• T. Subba Rao.
Analysis of Nonlinear Time Series (and Chaos) by Bispectral Methods

• Henry D. I. Abarbanel.
Local and Global Lyapunov Exponents on a Strange Attractor

• Thomas P. Meyer, Norman H. Packard.
Local Forecasting of High-Dimensional Chaotic Dynamics

• Martin Casdagli.
A Dynamical Systems Approach to Modeling Input-Output Systems

• Wallace E. Larimore.
Identification and Filtering of Nonlinear Systems Using Canonical Variate Analysis

• Aviv Bergman, Peter Grassberger, Thomas P. Meyer.
Forecasting Probabilities with Neural Networks

• James P. Crutchfield.
Semantics and Thermodynamics

• Matthew Koebbe, Gottfried J. Mayer-Kress.
Use of Recurrence Plots in the Analysis of Time-Series Data

• Blake LeBaron.
Nonlinear Forecasts for the S&P Stock Index

• Andreas S. Weigend, Bernardo A. Huberman, David E. Rumelhart.
Predicting Sunspots and Exchange Rates with Connectionist Networks

• Brent Townshend.
Nonlinear Prediction of Speech Signals

• William W. Taylor.
Application of Nonlinear Prediction to Signal Separation

• Norman F. Hunter Jr.
Application of Nonlinear Time-Series Models to Driven Systems

• Daniel P. Lathrop, Eric J. Kostelich.
Periodic Saddle Orbits in Experimental Strange Attractors

• Christopher G. Atkeson.
Memory-Based Approaches to Approximating Continuous Functions