Title	Law of large numbers for the SIR process on a random graph
Creator	Rempala, Grzegorz
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2017-06-08T09:05
Description	Stochastic SIR-type epidemic processes on random graphs are a special class of interaction networks that have become of interest lately for modeling contact-type epidemics (Ebola, HIV, etc). I will discuss a particular case of the SIR epidemic evolving on a configuration model random graph with given degree distribution. In particular, I will describe the relevant large graph limit result which yields the law of large numbers (LLN) for the edge-based SIR process and is useful in building a "network-free" SIR Markov hybrid model for epidemic parameters inference.
Extent	34 minutes
Subject	Mathematics; Dynamical systems and ergodic theory; Probability theory and stochastic processes; Mathematical biology
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: The Ohio State University
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2017-12-06
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0361536
URI	http://hdl.handle.net/2429/63826
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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