Open AccessThe entropy of stochastic processes based on practical considerations
Author(s) -
Yangyang Zhou,
Hanping Hu,
Jin Diao,
Yitao Chen
Publication year - 2020
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.5142429
Subject(s) - information diagram , joint entropy , entropy (arrow of time) , information theory , stochastic process , statistical physics , computer science , mutual information , measurement uncertainty , uncertainty quantification , gaussian process , shannon's source coding theorem , gaussian , mathematics , mathematical optimization , principle of maximum entropy , maximum entropy thermodynamics , artificial intelligence , statistics , joint quantum entropy , machine learning , physics , thermodynamics , quantum mechanics
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