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In optimization, what is the point of finding argmax of a probability density function?
For example, I am given a line fitting problem
Find pair $(a,b)$ that best fits $y_i = ax_i + b + z_i$, where $z_i$ is iid gaussian noise
Why would we try to find:
$(a^*, b^*)$ = argmax $\ p_{x,y}(...
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