在大多数情况下，基于后验分布的贝叶斯解会优于传统解。

In most cases, Bayes solution based on the mean of the posterior distribution will be better than the traditional one.

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结果显示不等式限制条件下的最小二乘平差的传统解实际上是基于后验分布模式下的贝叶斯解，而且从方差最小的意义上来讲它不是最优解。

The results show that traditional solution of LSI is actually a Bayes solution based on the mode of the posterior distribution and that it is not the best solution in the sense of variance minimizing.

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文章介绍了一种改进的敏感性问题随机化回答模型，并把贝叶斯方法用于该模型的参数估计，最后得出了参数的近似解。

This paper introduces an advanced random response model in sensitive question, and uses Bayesian methods in valuing the parameter, and finally obtains the parameter approximation.

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