Dynamical System Identification by Bayesian Inference
Author(s) -
Robert K. Niven,
Ali MohammadDjafari,
Laurent Cordier,
Markus Abel,
Markus Quade
Publication year - 2020
Publication title -
proceedings of the australasian fluid mechanics conference/proceedings - australasian fluid mechanics conference
Language(s) - Uncategorized
Resource type - Conference proceedings
eISSN - 2653-0597
pISSN - 0814-8007
DOI - 10.14264/692fcb8
Subject(s) - maximum a posteriori estimation , tikhonov regularization , dynamical systems theory , regularization (linguistics) , regularization perspectives on support vector machines , a priori and a posteriori , linear dynamical system , frequentist inference , bayesian probability , mathematics , system identification , computer science , algorithm , inverse problem , bayesian inference , dynamical system (definition) , artificial intelligence , linear system , data modeling , physics , mathematical analysis , statistics , maximum likelihood , philosophy , epistemology , quantum mechanics , database
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