Computational modeling of multivariable non-stationary time series in the state space by the AOKI_VAR algorithm

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作者
Tobar, Johanna [1 ]
Bottura, Celso [1 ]
Giesbrechtr, Mateus [1 ]
机构
[1] State University of Campinas, Campinas, Brazil
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Computation theory - Random processes - Stochastic systems - Time series;
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摘要
In this work we propose an iterative e algorithm for identification in the state space of multivariable non-stationary discrete time series considering and implementing a computational process which we will call AOKI_VAR. The proposed algorithm is based on an algorithm proposed by Masanao Aoki for computational modeling of time series. A modeling example is presented as well as discussions on validation, prediction and modeling of time series.
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