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                                       Details for article 5 of 21 found articles
 
 
  Bayesian inferences and forecasting in bilinear time series models
 
 
Title: Bayesian inferences and forecasting in bilinear time series models
Author: Chen, Cathy W. S.
Appeared in: Communications in statistics
Paging: Volume 21 (1992) nr. 6 pages 1725-1743
Year: 1992
Contents: In this paper, we propose a Bayesian approach to the analysis of bilinear time series which is an extension of Broemeling and Shaarawy's work (1988) on linear time series. The conjugate prior for parameters is used to derive the predictive distribution and the marginal posterior distribution of the bilinear parameters, by which we make inferences about the parameters and for a future observation. Our results are illustrated using the Wolf sunspot numbers from Box and Jenkins (1976) and are compared with a linear time series.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 5 of 21 found articles
 
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