A New Latent Class to Fit Spatial Econometrics Models with Integrated Nested Laplace Approximations

dc.contributor.author	Gómez-Rubio, Virgilio
dc.contributor.author	Bivand, Roger
dc.contributor.author	Rue, Håvard
dc.date.accessioned	2015-08-26T07:25:14Z
dc.date.accessioned	2015-08-26T07:38:04Z
dc.date.available	2015-08-26T07:25:14Z
dc.date.available	2015-08-26T07:38:04Z
dc.date.issued	2015
dc.identifier.citation	Procedia Environmental Sciences 2015, 27:116-118	nb_NO
dc.identifier.issn	1878-0296
dc.identifier.uri	http://hdl.handle.net/11250/297959
dc.description	-Copyright © 2015 Published by Elsevier B.V.	nb_NO
dc.description.abstract	The new slm latent model for estimating spatial econometrics models using INLA has recently been introduced. It will be described briefly and its use will be demonstrated in the accompanying poster.	nb_NO
dc.language.iso	eng	nb_NO
dc.publisher	Elsevier B.V	nb_NO
dc.rights	Navngivelse-Ikkekommersiell-IngenBearbeidelse 3.0 Norge	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/no/	*
dc.subject	integrated nested laplace approximation	nb_NO
dc.subject	spatial econometrics	nb_NO
dc.title	A New Latent Class to Fit Spatial Econometrics Models with Integrated Nested Laplace Approximations	nb_NO
dc.type	Journal article	nb_NO
dc.type	Peer reviewed	nb_NO
dc.date.updated	2015-08-26T07:25:14Z
dc.source.pagenumber	116-118	nb_NO
dc.source.volume	27	nb_NO
dc.source.journal	Procedia Environmental Sciences	nb_NO
dc.identifier.doi	10.1016/j.proenv.2015.07.119
dc.identifier.cristin	1259847

Except where otherwise noted, this item's license is described as Navngivelse-Ikkekommersiell-IngenBearbeidelse 3.0 Norge