Using probability trees to compute marginals with imprecise probabilities

dc.contributor.author	Cano Utrera, Andrés
dc.contributor.author	Moral Callejón, Serafín
dc.date.accessioned	2022-11-10T09:27:21Z
dc.date.available	2022-11-10T09:27:21Z
dc.date.issued	2001-11-12
dc.identifier.citation	Andrés Cano, Serafín Moral, Using probability trees to compute marginals with imprecise probabilities, International Journal of Approximate Reasoning, Volume 29, Issue 1, 2002, Pages 1-46, ISSN 0888-613X, [https://doi.org/10.1016/S0888-613X(01)00046-9]	es_ES
dc.identifier.uri	https://hdl.handle.net/10481/77876
dc.description.abstract	This paper presents an approximate algorithm to obtain a posteriori intervals of probability, when available information is also given with intervals. The algorithm uses probability trees as a means of representing and computing with the convex sets of probabilities associated to the intervals.	es_ES
dc.language.iso	eng	es_ES
dc.publisher	Elsevier	es_ES
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Dependence graphs	es_ES
dc.subject	Interval probabilities	es_ES
dc.subject	Propagation algorithms	es_ES
dc.subject	Probability trees	es_ES
dc.subject	Inteligencia artificial	es_ES
dc.subject	Artificial intelligence	es_ES
dc.title	Using probability trees to compute marginals with imprecise probabilities	es_ES
dc.type	journal article	es_ES
dc.rights.accessRights	open access	es_ES
dc.identifier.doi	10.1016/S0888-613X(01)00046-9
dc.type.hasVersion	VoR	es_ES

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