论文标题
贝叶斯定理在条件独立
Bayes' Theorem under Conditional Independence
论文作者
论文摘要
在本文中，我们提供了有关条件独立性统计概念的实质性讨论，在大多数基本统计和数学统计教科书中，这并未常规提及。在有条件独立性的假设下，提出了贝叶斯定理的扩展版本，并从假设和现实世界中的疾病诊断实例中提出了插图。
In this article we provide a substantial discussion on the statistical concept of conditional independence, which is not routinely mentioned in most elementary statistics and mathematical statistics textbooks. Under the assumption of conditional independence, an extended version of Bayes' Theorem is then proposed with illustrations from both hypothetical and real-world examples of disease diagnosis.
