Title	Agent-based models and data assimilation
Creator	Ward, Jonathan
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2019-03-18T11:19
Description	In this talk I will describe what agent-based models (ABMs) are and the mathematical challenges they present. I will also introduce data assimilation and the ensemble Kalman filter (EnKF). Using an extremely simple ABM, corresponding to a Markov chain that can be solved exactly, I will illustrate how the EnKF works and highlight some of things one must consider when applying data assimilation techniques. I will discuss an application using real data of footfall counts in Leeds.
Extent	36.0 minutes
Subject	Mathematics; Game theory, economics, social and behavioral sciences; Computer science
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: University of Leeds
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2019-09-15
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0380880
URI	http://hdl.handle.net/2429/71680
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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