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Frontal Cortex Entropy Derived From Resting-State fNIRS for Brain Age Prediction in Major Depressive Disorder. [PDF]

Depress Anxiety
Ji S, Tian Y, Lin X, Liu X, Yu H.
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Setting digital psychiatry in motion: towards dynamic digital markers for digital phenotyping. [PDF]

NPP Digit Psychiatry Neurosci
Constant A, Koksal CE, Palaniyappan L.
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Asymptotic Normality and Convergence Rates for Tsallis Entropy Estimators via Stabilization Techniques. [PDF]

Entropy (Basel)
Çadırcı MS, Singull M.
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Comparing Ising and Spin Glass Dynamics in Financial Markets: A Complex Systems Approach to Asset Interdependence. [PDF]

Entropy (Basel)
Georgescu I, Kinnunen J.
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Minimum entropy and information measure

IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 1998
Kapur et al. (1995) introduced the MinMax information measure, which is based on both maximum and minimum entropy. The major obstacle for using this measure, in practice, is the difficulty in finding the minimum entropy. An analytical expression has already been developed for calculating the minimum entropy when only variance is specified.
Lin Yuan, H. K. Kesavan
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