Statistical inference algorithms for epidemic processes on complex networks
ABSTRACT: The main topics of this dissertation are novel methods and algorithms for the modelling and the statistical inference about epidemic processes based on the Susceptible-Infected-Recovered (SIR) model on arbitrary network structures. Two types of problems are solved: (i) estimation of the fi...
| Permalink: | http://skupnikatalog.nsk.hr/Record/fer.KOHA-OAI-FER:44145/Description |
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| Glavni autor: | Antulov-Fantulin, Nino (-) |
| Ostali autori: | Šikić, Mile (Thesis advisor), Šmuc, Tomislav |
| Vrsta građe: | Knjiga |
| Jezik: | eng |
| Impresum: |
Zagreb,
N. Antulov-Fantulin ; Fakultet elektrotehnike i računarstva,
2015
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