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

在大多数情况下，基于后验分布的贝叶斯解会优于传统解。

2·After calculating the parameters' posterior distribution, the predictive distribution of settlement can also be obtained.

计算出参数的后验分布后，可进行沉降预测分布的计算。

3·Finally, the particle distribution approaches to the station posterior distribution and the maximum filtering performance is achieved.

最后，使得粒子的分布更加接近状态的后验概率密度，最大化地实现其滤波性能。

4·Meanwhile, various skills of statistical calculation can also help to simplify the way of generating the posterior distribution if they are properly utilized.

同时，各种统计计算方法的合理运用也可将后验分布的产生化繁为简。

5·The reliability of an existing structure mainly depends on three factors, namely, the resistance degradation, the resistance posterior distribution and the live load.

分析斜拉桥结构动态可靠度时，目前抗力衰减预测的基本模型经验性都很大，对具体结构并不一定适用。

6·A single Gaussian distribution is obtained to approximate the posterior distribution of state parameters based on sequential importance sampling and Monte Carlo methods.

通过基于重要性采样和蒙特卡罗模拟方法得到一高斯分布来近似未知状态变量的后验分布。

7·Then regarding the predictive distribution as prior distribution, the posterior distributions of the reliability are obtained combining with the information from flight tests.

利用此预测分布作为验前分布结合飞行试验信息得到可靠性的验后分布。

8·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.

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。

9·Meningiomas are predominately located in the upper and mid- thoracic areas, different from schwannomas, but are in a similar distribution in the anterior-posterior plane.

不同于许旺氏细胞瘤，脊膜瘤主要位于上段和中段胸椎水平，但是在前后方向有相似的分布。

10·Given the observed hydrological data, the model can estimate the posterior probability distribution of each location of change-point by using the Monte Carlo Markov Chain (MCMC) sampling method.

该模型的核心部分是根据观测到的资料，通过蒙特卡洛马尔科夫链随机抽样的方法来估计变点位置的后验概率分布。