Probabilistic Inference for Dynamical Systems.
Entropy (Basel)
; 20(9)2018 Sep 12.
Article
em En
| MEDLINE
| ID: mdl-33265785
ABSTRACT
A general framework for inference in dynamical systems is described, based on the language of Bayesian probability theory and making use of the maximum entropy principle. Taking the concept of a path as fundamental, the continuity equation and Cauchy's equation for fluid dynamics arise naturally, while the specific information about the system can be included using the maximum caliber (or maximum path entropy) principle.
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MEDLINE
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article