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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2024-11-15T00:14:27Z
dc.date.available2024-11-15T00:14:27Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/20.500.13067/3497
dc.description.abstractFrom a probabilistic model, this paper demonstrates that recession might be in essence the main event constituted by the conjunction of financial crisis, adverse supply shock, natural causes, serious declination of gross domestic product, among others factors, all of them entangled each other but dictated by the theorem of Bayes. Thus, this paper proposes the idea that recession from the mathematical point of view is the fall of spending as consequence of convoluted probabilistic distribution function through kernel functions that might be mathematically interpreted as the recoil on (i) production, (ii) consumption, (iii) investment, and (iv) employment. In this manner, recession might be understood as the Bayesian scenario by which variables are conditioned each other.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.sourceAUTONOMAes_PE
dc.subjectRecession modelinges_PE
dc.subjectBayesian theoremes_PE
dc.subjectProbabilistic distributiones_PE
dc.titleRecession From Declination of Economic Activities Dictated by Conditional Probabilitieses_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2024 International Conference on Electrical, Computer and Energy Technologies (ICECET)es_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.relation.urlhttps://doi.org/10.1109/ICECET61485.2024.10698661es_PE


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