用专业学术英语翻译并优化：如上一小节提到该转移矩阵方法虽然保证了可估性但不能适用于样本依赖噪音情形并且算法效果受到噪音后验估计准确度的影响很大。导致这一结果的主要原因是噪音后验概率和乘以转移矩阵后的概率并不完全相等即公式中的第二个等式并不总成立。

As mentioned in the previous section, although the transition matrix method ensures estimability, it is not applicable to situations with sample-dependent noise. Additionally, the performance of the algorithm is heavily influenced by the accuracy of the noise posterior estimation. The main reason for this result is that the product of the noise posterior probability and the transition matrix probability is not always equal, i.e., the second equation in the formula does not always hold true.