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Название: Measuring Statistical Dependences in a Time Series
Автор: Pompe B.
Аннотация:
Journal of Statistical Physics, Vol. 73, Nos. 3/4, 1993. p . 587-610.
We propose two methods to measure all (linear and nonlinear) statistical dependences in a stationary time series. Presuming ergodicity, the measures can be obtained from efficient numerical algorithms.