Pages that link to "Item:Q2844121"
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The following pages link to Estimating the embedding dimension and delay time of chaotic time series by an autoregressive model (Q2844121):
Displaying 9 items.
- Estimating the Lyapunov exponent from chaotic time series with dynamic noise (Q713796) (← links)
- Time delay embedding increases estimation precision of models of intraindividual variability (Q971536) (← links)
- Problems in estimating dynamics from data (Q994939) (← links)
- On delay co-ordinates in stochastic dynamical systems (Q2744084) (← links)
- Estimating the embedding dimension and delay time from chaotic time series with dynamic noise (Q2762244) (← links)
- Methodology of estimating the embedding dimension in chaos time series based on the prediction performance of radial basis function neural networks (Q2888676) (← links)
- STATISTICAL ESTIMATION OF THE EMBEDDING DIMENSION OF A DYNAMICAL SYSTEM (Q4494915) (← links)
- On explaining the surprising success of reservoir computing forecaster of chaos? The universal machine learning dynamical system with contrast to VAR and DMD (Q4983648) (← links)
- Orthogonal projection, embedding dimension and sample size in chaotic time series from a statistical perspective (Q5687573) (← links)
