dc.contributorEscolas::EPGE
dc.contributorFGV
dc.creatorMedeiros, Marcelo C.
dc.date.accessioned2014-11-25T10:51:17Z
dc.date.accessioned2022-11-03T20:30:56Z
dc.date.available2014-11-25T10:51:17Z
dc.date.available2022-11-03T20:30:56Z
dc.date.created2014-11-25T10:51:17Z
dc.date.issued2005-11-03
dc.identifierhttp://hdl.handle.net/10438/12584
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5039865
dc.description.abstractThe goal of this paper is to introduce a class of tree-structured models that combines aspects of regression trees and smooth transition regression models. The model is called the Smooth Transition Regression Tree (STR-Tree). The main idea relies on specifying a multiple-regime parametric model through a tree-growing procedure with smooth transitions among different regimes. Decisions about splits are entirely based on a sequence of Lagrange Multiplier (LM) tests of hypotheses.
dc.languageeng
dc.publisherEscola de Pós-Graduação em Economia da FGV
dc.relationSeminários de pesquisa econômica da EPGE
dc.rightsTodo cuidado foi dispensado para respeitar os direitos autorais deste trabalho. Entretanto, caso esta obra aqui depositada seja protegida por direitos autorais externos a esta instituição, contamos com a compreensão do autor e solicitamos que o mesmo faça contato através do Fale Conosco para que possamos tomar as providências cabíveis
dc.subjectRegression-trees
dc.subjectSmooth transitions
dc.subjectNonlinear models
dc.subjectTime series
dc.subjectRegression
dc.subjectModeling cycle
dc.subjectSemi-parametric models
dc.titleTree-structured smooth transition models
dc.typeWorking Paper


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