[en] STATE SPACE MODEL FOR TIME SERIES WITH BIVARIATE POISSON DISTRIBUTION: AN APPLICATION OF DURBIN-KOOPMAN METODOLOGY

dc.creatorSERGIO EDUARDO CONTRERAS ESPINOZA
dc.date.accessioned2022-09-09T16:17:53Z
dc.date.accessioned2023-03-13T19:22:56Z
dc.date.available2022-09-09T16:17:53Z
dc.date.available2023-03-13T19:22:56Z
dc.date.created2022-09-09T16:17:53Z
dc.identifierhttp://148.201.128.228:8080/xmlui/handle/20.500.12032/9990
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6153012
dc.publisherMAXWELL
dc.subject[pt] FILTRO DE KALMAN
dc.subject[pt] VARIAVEIS ANTITETICAS
dc.subject[pt] DISTRIBUICAO POISSON BIVARIADA
dc.subject[pt] AMOSTRAGEM POR IMPORTANCIA
dc.subject[pt] SIMULACAO MONTE CARLO
dc.subject[en] KALMAN FILTER
dc.subject[en] ANTITHETIC VARIABLE
dc.subject[en] POISSON BIVARIATE DISTRIBUTION
dc.subject[en] IMPORTANCE SAMPLING
dc.subject[en] MONTE CARLO SIMULATION
dc.title[pt] MODELO EM ESPAÇO DE ESTADO PARA SÉRIES TEMPORAIS COM DISTRIBUIÇÃO POISSON BIVARIADA: UMA APLICAÇÃO DA METODOLOGIA DURBIN-KOOPMAN
dc.title[en] STATE SPACE MODEL FOR TIME SERIES WITH BIVARIATE POISSON DISTRIBUTION: AN APPLICATION OF DURBIN-KOOPMAN METODOLOGY
dc.typeTEXTO


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