Modelling Complex Systems: a primer - agent-based models, equation-based models, statistical models and Bayesian inference, digital twins

Reference : Modelling Complex Systems: a primer - agent-based models, equation-based models, stat...


	Document type :	Learning materials : Course notes
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/38545

Title :	Modelling Complex Systems: a primer - agent-based models, equation-based models, statistical models and Bayesian inference, digital twins
Language :	English
Author, co-author :	Bordas, Stéphane [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Publication date :	24-Jan-2019
Institution :	Continuing Education, University of Luxembourg
Collection and collection volume :	1
Number of pages :	400
Keywords :	[en] Modelling Complex Systems: a primer - agent-based models, equation-based models, statistical models and Bayesian inference, digital twins ; Aerospace ; Medicine
Abstract :	[en] Modelling Complex Systems: a primer - agent-based models, equation-based models, statistical models and Bayesian inference, digital twins
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/38545

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Open access	mathematicalModellingIntroduction.pdf	PDF of slides	Publisher postprint	140.25 MB	View/Open

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