Probabilistic inference for dynamical systems

Data di pubblicazione: 1 Set 2018

RivistaFonte dati: ARCHIVIO

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. View Full-Text

Editore
Multidisciplinary Digital Publishing Institute
Fonte
Entropy
ID archivio
9ccf7a73055324b07f20dee97afda84e
Riferimenti
Volume: 20 Issue: 9 Pages: 696