Physica A: Statistical Mechanics and its Applications
Volume 216, Issue 4, 1 July 1995, Pages 518-542
Measuring correlations in symbol sequences
References (54)
- et al.
Chaos, Solitons & Fractals
(1994) Bull. Math. Biol.
(1989)- et al.
Chaos, Solitons & Fractals
(1994) - et al.
Physica A
(1994) - et al.
Physica D
(1994) - et al.
Chaos, Solitons & Fractals
(1992) J. Mol. Biol.
(1981)Phys. Lett. A
(1988)Bell Syst. Techn. J.
(1951)- et al.
Wahrscheinlichkeit und Information
(1965)
Fractals
(1993)
Europhys. Lett.
(1994)
Information Theory and the Living System
(1972)
Physik der Selbstorganisation und Evolution
(1982)
Physica Scripta
(1987)
Sys. Anal. Mod. Sim.
(1988)
Science
(1992)
Int. J. Bif. Chaos
(1992)
Nature
(1992)
Phys. Rev. Lett.
(1992)
Nature
(1993)
Europhys. Lett.
(1993)
J. Phys. A: Math. Gen.
(1994)
Phys. Rev. E
(1994)
Int. J. Theor. Phys.
(1986)
Z. Naturforsch.
(1982)
Cited by (159)
Structure of the correlation function at the accumulation points of the logistic map
2017, Chaos, Solitons and FractalsEarly development of synchrony in cortical activations in the human
2016, NeuroscienceAnalysis of correlation structures in the Synechocystis PCC6803 genome
2014, Computational Biology and ChemistryBacterial genomes lacking long-range correlations may not be modeled by low-order Markov chains: The role of mixing statistics and frame shift of neighboring genes
2014, Computational Biology and ChemistryNothing to lose: Processing blindness to potential losses drives thrill and adventure seekers
2012, NeuroImageCitation Excerpt :Third, using a mutual information (MI) analysis, the degree of non-randomness in sequences of action-outcomes was assessed to determine whether participants delivered responses that were influenced by the outcome of the immediately preceding trial and those of up to 10 trials ago. Mutual information functions (Herzel and Grosse, 1995) are based on the logarithmic likelihood ratio between the observed frequency of an event and the expected frequency of an event. These functions quantify, in units of bits, how much more or less likely than chance it is that two events will co-occur, in this case with 0 bits representing complete independence and 1 bit representing perfect prediction of each event by the other.
Reliability as Lindley Information
2023, Multivariate Behavioral Research
Copyright © 1995 Published by Elsevier B.V.