增长曲线模型(一般协方差结构)的Bayes影响分析

Bayesian Influence Assessments in a Growth Curve Model with General Covariance Structure

  • 摘要: 本文讨论具有一般协方差结构的增长曲线模型中未知参数矩阵的Bayes影响分析问题,在无信息先验分布假设下,K-L距离被用来评估指定响应阵对参数矩阵的后验分布的影响程度。

     

    Abstract: The problem considered here is to assess the Bayesian influence on the unknown param- eter matrices in a grwoth curve model with the general covariance structure. Under the non- information prior distribution assumption, the Kullback-Leibler divergence is employed to eval- uate the effect of a designated response matrix on the posterior distribution of the parameter matrix

     

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