Pages that link to "Item:Q1913540"
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The following pages link to Coarse-grained entropy rates for characterization of complex time series (Q1913540):
Displaying 20 items.
- Simulation study of direct causality measures in multivariate time series (Q280447) (← links)
- Direct calculation of metric entropy from time series (Q1208857) (← links)
- Significance testing of information theoretic functionals (Q1373910) (← links)
- Symbolic dynamics and complexity in a physiological time series (Q1576630) (← links)
- The quantified histograms: Detection of the hidden unsteadiness (Q1598992) (← links)
- Information-entropic analysis of chaotic time series: Determination of time-delays and dynamical coupling (Q1610475) (← links)
- Detection of nonlinearity and chaoticity in time series using the transportation distance function (Q1612855) (← links)
- Modified multiscale cross-sample entropy for complex time series (Q1733624) (← links)
- Estimating the errors on measured entropy and mutual information (Q1962437) (← links)
- On entropy rates of dynamical systems and Gaussian processes (Q1968194) (← links)
- Network inference combining mutual information rate and statistical tests (Q2094514) (← links)
- Characterization of autoregressive processes using entropic quantifiers (Q2149969) (← links)
- Scale-dependent intrinsic entropies of complex time series (Q2955847) (← links)
- Unified functional network and nonlinear time series analysis for complex systems science: The<tt>pyunicorn</tt>package (Q4591787) (← links)
- Space-time nature of causality (Q4683679) (← links)
- (Q4739494) (← links)
- Estimating entropy rate from censored symbolic time series: A test for time-irreversibility (Q4983669) (← links)
- Coupling in complex systems as information transfer across time scales (Q4993462) (← links)
- Successful network inference from time-series data using mutual information rate (Q5347070) (← links)
- Phase-based causality analysis with partial mutual information from mixed embedding (Q6563615) (← links)