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most citedMeasuring Information Transfer

4.6k citations · 10.1k across the 18 of their papers we have counts for

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18 papers

nlin.CD2000★ 4.6k cited

Measuring Information Transfer

Thomas Schreiber

An information theoretic measure is derived that quantifies the statistical coherence between systems evolving in time. The standard time delayed mutual information fails to distin…

chao-dyn1999★ 218 cited

Detecting and analysing nonstationarity in a time series with nonlinear cross-predictions

Thomas Schreiber

We propose an informal test for stationarity in a time series which checks for the compatibility of nonlinear approximations to the dynamics made in different segments of the seque…

chao-dyn1999★ 214 cited

Discrimination power of measures for nonlinearity in a time series

Thomas Schreiber, Andreas Schmitz

The performance of a number of different measures of nonlinearity in a time series is compared numerically. Their power to distinguish noisy chaotic data from linear stochastic sur…

chao-dyn1999★ 175 cited

Constrained randomization of time series data

Thomas Schreiber

A new method is introduced to create artificial time sequences that fulfil given constraints but are random otherwise. Constraints are usually derived from a measured signal for wh…

chao-dyn1999★ 1.5k cited

Improved surrogate data for nonlinearity tests

Thomas Schreiber, Andreas Schmitz

Current tests for nonlinearity compare a time series to the null hypothesis of a Gaussian linear stochastic process. For this restricted null assumption, random surrogates can be c…

chao-dyn1999★ 1.5k cited

Surrogate time series

Thomas Schreiber, Andreas Schmitz

Before we apply nonlinear techniques, for example those inspired by chaos theory, to dynamical phenomena occurring in nature, it is necessary to first ask if the use of such advanc…