基于贝叶斯分析面板数据，
Bayesian Panel Data Model Based on Markov Chain Monte Carl，
主要内容：
The general aim of  this paper  is  to deal with problems of estimation  , prediction, and model building  for panel
data model .Bayesian approach based on Markov chain Monte Carlo (MCMC) employed to make inferences on
panel  data model  coefficients  under  some  conditions  on  the  prior  distribution  . We  investigate  the  posterior
density and identify the analytic form of the Bayes factor for checking the model.

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