J4 ›› 2011, Vol. 49 ›› Issue (05): 857-860.

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Bayesian Estimation of Time Vary Parameter Autoregression Model

SHI Sanzhi1, WANG Dehui2, SONG Lixin3, YAN Li1   

  1. 1. School of Science, Changchun University of Science and Technology, Changchun 130022, China;2. College of Mathematics, Jilin |University, Changchun 130012, China;3. College of Mathematics, Dalian University of Technology, Dalian 116024, Liaoning Province, China
  • Received:2011-01-27 Online:2011-09-26 Published:2011-09-27
  • Contact: WANG Dehui E-mail:wangdehui@jlu.edu.cn

Abstract:

The authors proposed the Bayesian method to estimate the parameters in a special time vary parameter autoregression model(TVPAR model). Assuming that  coefficient parameters are uniform, and variance is inverse gamma distribution, we got the iterate steps of all parameters by means of  MCEM algorithm. Simulation and a real data analysis were performed to illustrate the proposed estimation method.

Key words: TVPAR model, MCEM algorithm, Bayesian estimation, prior distribution

CLC Number: 

  • O212.1