dc.creatorLaurini
dc.creatorMarcio Poletti; Hotta
dc.creatorLuiz Koodi
dc.date2016
dc.dateset
dc.date2017-11-13T13:11:53Z
dc.date2017-11-13T13:11:53Z
dc.date.accessioned2018-03-29T05:50:09Z
dc.date.available2018-03-29T05:50:09Z
dc.identifierComputational Statistics. Springer Heidelberg, v. 31, p. 1169 - 1202, 2016.
dc.identifier0943-4062
dc.identifier1613-9658
dc.identifierWOS:000379341700016
dc.identifier10.1007/s00180-015-0598-2
dc.identifierhttps://link.springer.com/article/10.1007/s00180-015-0598-2
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/326756
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1363781
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionWe study the semiparametric estimation of stochastic differential equations employing methods based on moment conditions, comparing the finite sample and robustness properties of generalized method of moments, empirical likelihood and minimum contrast methods using unconditional and conditional formulations of moment conditions. The results obtained indicate that the estimators proposed, particularly, the estimators based on exponential tilting, obtain better results than those of the generalized methods of moments normally used to estimate stochastic differential equations. This conclusion is mainly derived from the robustness properties of this method in the presence of problems of incorrect specification.
dc.description31
dc.description3
dc.description1169
dc.description1202
dc.descriptionFAPESP
dc.descriptionCNPq
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.languageEnglish
dc.publisherSpringer Heidelberg
dc.publisherHeidelberg
dc.relationComputational Statistics
dc.rightsfechado
dc.sourceWOS
dc.subjectMoment Conditions
dc.subjectEmpirical Likelihood
dc.subjectGeneralized Minimum Contrast
dc.subjectExponential Tilting
dc.titleGeneralized Moment Estimation Of Stochastic Differential Equations
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución