Use scipy stats for PoissonLL #40
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I'm running into an edge case for the binned likelihood, where
np.log(expected_total)throws an error when any of the expectations are zero. However, this is not problematic as long as the number of observed events in the same bins is zero. So instead of -inf or nan it makes sense to return 0 in this case.Scipy stats has implemented this case accordingly, so I propose switching to this implementation.