Recursoes De Kalman
Mostrando 1-2 de 2 artigos, teses e dissertações.
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1. STATE SPACE MODEL FOR TIME SERIES WITH BIVARIATE POISSON DISTRIBUTION: AN APPLICATION OF DURBIN-KOOPMAN METODOLOGY / MODELO EM ESPAÇO DE ESTADO PARA SÉRIES TEMPORAIS COM DISTRIBUIÇÃO POISSON BIVARIADA: UMA APLICAÇÃO DA METODOLOGIA DURBIN-KOOPMAN
In this thesis we consider a state space model for bivariate observations of count data. The approach used to solve the non analytical integrals that appears as the solution of the resulting non-Gaussian filter is a natural extension of the methodology advocated by Durbin and Koopman (DK). In our approach the aproximated Gaussian Model (AGM), has a diagonal
Publicado em: 2004
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2. STATE SPACE MODELS WITH RESTRICTIONS IN COMPONENTS OF INTEREST: APPLICATIONS IN DYNAMIC STYLE ANALYSIS FOR BRAZILIAN INVESTMENT FUNDS / MODELOS EM ESPAÇO DE ESTADO COM RESTRIÇÕES NAS COMPONENTES DE INTERESSE: APLICAÇÕES EM ANÁLISE DINÂMICA DE ESTILO PARA FUNDOS DE INVESTIMENTO BRASILEIROS
This Dissertation aims, in a frequentist way, to discuss technologies for imposing restrictions in non-observable components associated with an arbitrary State Space (SS) model. The text scope ranges from procedures proposed originally by Howard Doran for equality, linear or non- linear, time invariant or time varying restrictions in a linear SS model, to ad
Publicado em: 2004