Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/34130
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dc.contributor.authorGANYANI, Tapiwa-
dc.contributor.authorFAES, Christel-
dc.contributor.authorHENS, Niel-
dc.date.accessioned2021-05-28T17:40:43Z-
dc.date.available2021-05-28T17:40:43Z-
dc.date.issued2021-
dc.date.submitted2021-05-04T11:32:17Z-
dc.identifier.citationAnnual Review of Statistics and Its Application, 8 (1) , p. 69 -88-
dc.identifier.urihttp://hdl.handle.net/1942/34130-
dc.description.abstractThis article considers simulation and analysis of incidence data using stochastic compartmental models in well-mixed populations. Several simulation approaches are described and compared. Thereafter, we provide an overview of likelihood estimation for stochastic models. We apply one such method to a real-life outbreak data set and compare models assuming different kinds of stochasticity. We also give references for other publications where detailed information on this topic can be found.-
dc.description.sponsorshipThe computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation-Flanders (FWO) and the Flemish Government department EWI.-
dc.language.isoen-
dc.publisherANNUAL REVIEWS-
dc.relation.ispartofseriesAnnual Review of Statistics and Its Application-
dc.subject.otherstochastic SIR model-
dc.subject.otherstochasticity-
dc.subject.othersimulation-
dc.subject.otherestimation-
dc.subject.otherepidemic modeling-
dc.titleSimulation and Analysis Methods for Stochastic Compartmental Epidemic Models-
dc.typeJournal Contribution-
dc.identifier.epage88-
dc.identifier.issue1-
dc.identifier.spage69-
dc.identifier.volume8-
local.format.pages20-
local.bibliographicCitation.jcatA1-
dc.description.notesGanyani, T (corresponding author), Hasselt Univ, Data Sci Inst, I BioStat, B-3500 Hasselt, Belgium.-
dc.description.notestapiwa.ganyani@uhasselt.be-
dc.description.otherGanyani, T (corresponding author), Hasselt Univ, Data Sci Inst, I BioStat, B-3500 Hasselt, Belgium. tapiwa.ganyani@uhasselt.be-
local.publisher.place4139 EL CAMINO WAY, PO BOX 10139, PALO ALTO, CA 94303-0897 USA-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1146/annurev-statistics-061120-034438-
dc.identifier.isiWOS:000627718500004-
local.provider.typewosris-
local.uhasselt.uhpubyes-
local.description.affiliation[Ganyani, Tapiwa; Faes, Christel; Hens, Niel] Hasselt Univ, Data Sci Inst, I BioStat, B-3500 Hasselt, Belgium.-
local.description.affiliation[Hens, Niel] Univ Antwerp, Vaccine & Infect Dis Inst, Ctr Hlth Econ Res & Modelling Infect Dis CHERMID, B-2610 Antwerp, Belgium.-
local.uhasselt.internationalno-
item.validationecoom 2022-
item.contributorGANYANI, Tapiwa-
item.contributorFAES, Christel-
item.contributorHENS, Niel-
item.fullcitationGANYANI, Tapiwa; FAES, Christel & HENS, Niel (2021) Simulation and Analysis Methods for Stochastic Compartmental Epidemic Models. In: Annual Review of Statistics and Its Application, 8 (1) , p. 69 -88.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn2326-8298-
crisitem.journal.eissn2326-831X-
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