---
title: "Bayes Normalization Constant"
type: concept
related: [Baysian Network]
source: https://www.jemoka.com/posts/kbhbayes_normalization_constant/
confidence: high
status: active
---

For some Baysian Network situation, you will note that there&rsquo;s some bodge of values below:
\begin{equation} P(A|M) = \frac{P(M|A)P(A)}{P(M)} \end{equation}
if we are only interested in a function in terms of different values of \(a\), \(P(M)\) is not that interesting. Therefore, we can just calculate \(A\) for all \(a\), and then normalize it to sum to 1:
\begin{equation} P(A|M) \propto P(M|A)P(A) \end{equation}
and then, after calculating each \(P(M|A)P(A)\) , we just ensure that each thing sums to one.
