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December 29th, 2015, 01:14 AM   #1
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Joined: Feb 2015
From: london

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Prior distribution

Ive watched several youtube videos about Bayesian estimation of the mean of a normal distribution.

An example of a video is

They always ignore the contstants when calculating the posterior distribution, but never explain why.

For example when calculating postererior distribution for normal, the constant $\displaystyle \frac{1}{\sqrt{2\pi\sigma^2}}$ is always ignored and removed.

Please can someone explain why?
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