| Título: | The application of Bayesian Model Averaging in Macroeconomy |
| Autores: |
HUA, Peng; 1. College of Information Science and Engineering, Shandong University of Science and Technology, 266510, China
2. Center for Applied Statistics, Renmin University of China, Beijing,100872, China DU, Zifang; Center for Applied Statistics, Renmin University of China, Beijing,100872, China |
| Fecha: | 2011-12-31 |
| Publicador: | Advances in Natural Science |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
| Tema: |
Bayesian Model Averaging; Model uncertainty; Macroeconomy |
| Descripción: | Bayesian Model Averaging is a weighted averaging method based on posterior distribution. It considers comprehensively the prior and sample information of model and parameter, reduces the model uncertainty. Bayesian Model Averaging improves statistical inference accuracy and provides improved out-of-sample predictive performance. In this paper, we outline the details of the Bayesian model averaging principle, introduce the application of Bayesian Model Averaging in macroeconomy and give an example about the application of Bayesian Model Averaging in GDP research.Key words: Bayesian Model Averaging; Model uncertainty; Macroeconomy |
| Idioma: | Inglés |
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