prior probability

Bayse classify is a statistical method based on Bayes theorem, which uses prior probability and sample information to calculate the posterior probability.

贝叶斯分类是一种基于贝叶斯定理的统计学分类方法，它是结合先验信息与样本信息计算出后验概率。

Every attempt was made to throw discredit upon his assertions. At the same time, the previous global estimate of failure probability can serve as additional prior information to yield the overall calibrated probability.

那些人千方百计地破坏他所说的话的信用。同时，先前估计的全局破坏概率，能够用作额外的先验信息，来给出全部校准的破坏概率。

The fault diagnosis arithmetic based on Bayes test method and the significance-test of time statistics of the transition was put forward. Under the guidance of modular fault diagnosis idea, stratify and locate the fault source combined with prior probability and posterior probability of the system.

提出了基于Bayes试验方法的故障诊断算法，对变迁的时间统计量进行显著性检验，结合系统的先验和后验概率，在模块化故障诊断思想的指导下，分层定位至故障源。

Joint Probability, Conditional Probability, Prior& Posterior Probabilities, Bayes Theorem.

联合机率，条件机率，前后机率，贝氏定理。

The Bayes Risk Theorem is also deduced, the genuine application value is pointed out. In addition, the calculation of the real mean risk value, the mean test number and prior probability P_H_0 are discussed.

另外还讨论了Bayes截尾SPRT方案的平均风险实际值、平均试验数及验前概率P（H0）的计算。

The joint distribution of prior probability is estimated using the Expectation Maximization algorithm in detail. And we utilized joint distribution of Gaussian prior probability to compensate feature parameters. The parameter estimation formula of joint Gaussian Mixture Model was also derived.

在此基础上，引入倒谱的动态差分特征，采用期望最大化算法，估计先验概率的联合分布，利用联合高斯先验概率进行特征补偿，并推导了联合高斯混合模型的参数估计公式。