Estimating the Lyapunov exponent of a chaotic system with nonparametric regression

Keyphrases

• Lyapunov Exponent 100%
• Chaotic System 100%
• Nonparametric Regression 100%
• Neural Nets 100%
• Time Series Data 66%
• Convergence Rate 66%
• Consistent Estimator 66%
• Thin-plate Spline 66%
• Radial Basis Function 33%
• Additive Noise 33%
• Partial Derivatives 33%
• Chaotic Dynamics 33%
• Defining Characteristic 33%
• Regression Method 33%
• Autoregression 33%
• Spline Methods 33%
• Projection Pursuit 33%
• Embedding Dimension 33%
• Net Yield 33%
• Bounded Fluctuation 33%
• Noisy Systems 33%
• Nonlinear Autoregressive 33%
• Basis Projection 33%
• Local Splines 33%
• Dominant Lyapunov Exponent 33%

Mathematics

• Spline 100%
• Lyapunov Exponent 100%
• Chaos 100%
• Neural Network 75%
• Consistent Estimator 50%
• Time Series Data 50%
• Thin Plate 50%
• Rate of Convergence 50%
• Basis Function 25%
• Additive Noise 25%
• Partial Derivative 25%
• Autoregression 25%