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dc.contributor.authorSubbey, Sam
dc.contributor.authorSolvang, Hiroko Kato
dc.date.accessioned2020-10-29T09:44:16Z
dc.date.available2020-10-29T09:44:16Z
dc.date.created2019-04-18T17:30:08Z
dc.date.issued2019
dc.identifier.issn1492-8760
dc.identifier.urihttps://hdl.handle.net/11250/2685633
dc.description.abstractThis paper presents a modeling framework that captures the impulsive biomass dynamics (bust-boom) of a fish stock. The framework is based on coupling a Hawkes-process model to a discrete-time, ages-structured population dynamics model. Simulation results are presented to demonstrate the efficacy of the framework in capturing impulsive events in the population trajectory. The results presented in this paper are significant in three ways: • A framework has been presented that demonstrates how premonitory information may be extracted from exogenous observations from complex environmental systems • We have demonstrated how exogenous information may be parameterized and incorporated into the modeling process for better understanding of the link between environmental drivers and the population dynamical system • The framework has been successfully applied in modeling and short-term prediction of the population dynamics of an empirical fish stock.en_US
dc.language.isoengen_US
dc.titleINTEGRATING HAWKES PROCESS- ND BIOMASS MODELS TO CAPTURE IMPULSIVE POPULATION DYNAMICSen_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.journalDCDIS Series B: Applications & Algorithmsen_US
dc.identifier.cristin1693170
cristin.unitcode7431,16,0,0
cristin.unitnameFiskeridynamikk
cristin.ispublishedtrue
cristin.fulltextoriginal


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