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扩展线性支出系统的贝叶斯估计——Gibbs抽样算法的一个应用
Bayesian Estimation of Expanded Linear Expenditure System by Gibbs Sampler
【摘要】 研究了线性支出系统的贝叶斯估计,提出了似然函数的三种等价形式,在条件共轭先验的假设下,推导了该系统贝叶斯估计的Gibbs抽样器,并用我国1999年城镇居民家庭支出数据进行了计算.
【Abstract】 The Bayesian estimation of expanded linear expenditure system (ELES) is studied.Three equivalent forms of the likelihood function for ELES are proposed.Under conditionally conjugate priors, a Gibbs sampler to estimate the Bayesian estimation of ELES is derived, and the approach is illustrated with the data of China′s living expenditure of urban households in 1999.
【关键词】 扩展线性支出系统;
贝叶斯估计;
Gibbs抽样器;
【Key words】 expanded linear expenditure system (ELES); Bayesian estimation; Gibbs sampler;
【Key words】 expanded linear expenditure system (ELES); Bayesian estimation; Gibbs sampler;
- 【文献出处】 内蒙古大学学报(自然科学版) ,Acta Scientiarum Naturalium Universitatis Neimongol , 编辑部邮箱 ,2005年05期
- 【分类号】O212.8
- 【被引频次】1
- 【下载频次】224