Parameter Estimation for p-Order Random Coefficient Autoregressive (RCA) Models Based on Kalman Filter

被引:0
|
作者
Benmoumen, Mohammed [1 ]
Allal, Jelloul [1 ]
Salhi, Imane [1 ]
机构
[1] Mohammed Premier Univ, Fac Sci, LaMSD, Oujda, Morocco
关键词
D O I
10.1155/2019/8479086
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper we elaborate an algorithm to estimate p-order Random Coefficient Autoregressive Model (RCA(p)) parameters. This algorithm combines quasi-maximum likelihood method, the Kalman filter, and the simulated annealing method. In the aim to generalize the results found for RCA(1), we have integrated a subalgorithm which calculate the theoretical autocorrelation. Simulation results demonstrate that the algorithm is viable and promising.
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页数:5
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