Time series forecasting of gold prices with the help of its decomposition and multivariate adaptive regression splines

dc.contributor.author	Sánchez Lasheras, Fernando
dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Fidalgo Valverde, Gregorio
dc.contributor.author	Krzemien, Alicja
dc.date.accessioned	2022-03-11T07:30:01Z
dc.date.available	2022-03-11T07:30:01Z
dc.date.issued	2022
dc.identifier.isbn	9783030878696
dc.identifier.isbn	9783030878689
dc.identifier.issn	2194-5357
dc.identifier.issn	2194-5365
dc.identifier.uri	http://hdl.handle.net/10651/62235
dc.description	International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (16th. 2021. Bilbao)
dc.format.extent	p. 135-144
dc.language.iso	eng
dc.relation.ispartof	16th international conference on soft computing models in industrial and environmental applications (soco 2021)
dc.rights	© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
dc.source	WOS:000719656700013
dc.title	Time series forecasting of gold prices with the help of its decomposition and multivariate adaptive regression splines
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-030-87869-6_13
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-030-87869-6_13

Ficheros en el ítem

Ficheros	Tamaño	Formato	Ver
No hay ficheros asociados a este ítem.