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December 29th, 2015, 01:14 AM  #1 
Senior Member Joined: Feb 2015 From: london Posts: 121 Thanks: 0  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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