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Home > Nonlinear dynamics and time series: building a bridge between the natural and statistical sciences / > Modelling Nonlinearity and Long Memory in Time Series
Nonlinear dynamics and time series: building a bridge between the natural and statistical sciences / |
Cutler, Colleen D.; Kaplan, Daniel.
American Mathematical Society,
Nonlinear dynamics and time series: building a bridge between the natural and statistical sciences /
Modelling Nonlinearity and Long Memory in Time Series
Authors

Peter M. Robinson and Paolo Zaffaroni

ARI Id

1675163463086_51921660

Access

Not Available Free

Table of Contents of Book
Showing 1 to 16 of 16 entries
Chapters/HeadingsAuthor(s)PagesInfo
Tools for the Analysis of Chaotic Data
Henry D. I. Abarbanel
Some Comments on Nonlinear Time Series Analysis
Howell Tong
A General Approach to Predictive and Fractal Scaling Dimensions in Discrete-Index Time Series
Colleen D. Cutler
Statistics for Continuity and Differentiability: An Application to Attractor Reconstruction from Time Series
Louis M. Pecora, Thomas L. Carroll and James F. Heagy
Reconstruction of Integrate-and-Fire Dynamics
Tim Sauer
On the Validity of the Method of Surrogate Data
Kung-sik Chan
Using "Surrogate Surrogate Data" to Calibrate the Actual Rate of False Positives in Tests for Nonlinearity in Time Series
James Theiler and Dean Prichard
Chaos with Confidence: Asymptotics and Applications of Local Lyapunov Exponents
Barbara A. Bailey, Stephen Ellner and Douglas W. Nychka
Estimating Local Lyapunov Exponents
Zhan-qian Lu and Richard L. Smith
Defining and Measuring Long-Range Dependence
Peter Hall
Modelling Nonlinearity and Long Memory in Time Series
Peter M. Robinson and Paolo Zaffaroni
Ergodic Distributions of Random Dynamical Systems
L. Mark Berliner, Steven N. MacEachern and Catherine Scipione Forbes
Detecting Structure in Noise
Lisa Borland
Characterizing Nonlinearity in Weather and Epilepsy Data: A Personal View
Martin C. Casdagli
Assessment of Linear and Nonlinear Correlations Between Neural Firing Events
Andre Longtin and Daniel M. Racicot
Markov Chain Methods in the Analysis of Heart Rate Variability
Stephen J. Merrill and John R. Cochran.
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 16 of 16 entries
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