# why minimize loss function instead of maximizing reward function?

Why is the "de-facto" in statistics to minimize the sum of squared errors cost function instead of maximizing some reward function like the likelihood function?

• If you define loss = -reward, aren't they the same? – Glen_b Apr 23 '14 at 1:56