论文信息 - Bayesian Approach for ARMA Process and Its Application

Bayesian Approach for ARMA Process and Its Application

There have been a lot of works relating to time series analysis. In this paper, the Bayesian analysis method for ARMA model is discussed and an application example is given. Firstly, the Bayesian theoretic results about AR model and the determination approach for model order are obtained. Then, the approach are presented for Bayesian analysis of MA and ARMA models. As its application, the forecasting model for Shanghai real estate price index is set up and the digital result shows well performance.

Sha Yao | Chongjun Fan | Chongjun Fan | Sha Yao

[1] Broemeling Lyle,et al. On forecasting with univariate autoregressive processes: a bayesian approach , 1984 .

[2] James O. Berger. Statistical Decision Theory , 1980 .

[3] Samir M. Shaarawy,et al. Inference and prediction with arma processes , 1985 .

[4] K. Fukumoto. A Bayesian Analysis of Time-Series Event Count Data , 2006 .

[5] Chongjun Fan,et al. The Review on Non-linear Analysis and Forecasting Methods of the Real Estate Market in China , 2009 .

[6] Lyle Broemeling,et al. Bayesian inferences and forecasts with moving averages processes , 1984 .

[7] D. B. Preston. Spectral Analysis and Time Series , 1983 .