Anyone know if there’s a best practice for this in the professional finance world? I can visually test for normality easily, but I’m now running into situations where visually testing is not appropriate.
This algorithm has been performing well just assuming a normal distribution for certain things, but I’ve recently realized that at least one of the datasets that I’m making this assumption on is actually at least bi-modal.
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