haku: @author Kato, H. / yhteensä: 2
viite: 1 / 2
« edellinen | seuraava »
Tekijä:Kato, H.
Otsikko:A Bayesian multivariate nonstationary time series model for estimating mutual relationships among variables
Lehti:Journal of Econometrics
1996 : NOV, VOL. 75:1, p. 147-161
Asiasana:ECONOMETRICS
ECONOMICS
TIME SERIES
Kieli:eng
Tiivistelmä:The purpose of this paper is to propose a Bayesian multivariate stochastic model with latent nonstationary trends and seasonal components and show its use to determine the relationships among the variables. The model is expressed in state space form and the parameters of the model are estimated by maximum likelihood using a numerical optimization algorithm. The Kalman filter is used to compute the likelihood of the model and the information criterion AIC is used to select the best fitting model.
SCIMA tietueen numero: 153033
lisää koriin
« edellinen | seuraava »
SCIMA