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I know next to nothing about this. How do people make use of forecasts that don't provide an uncertainty? It seems like that's the most important part. Why hasn
by lopatin 2y ago
I know next to nothing about this. How do people make use of forecasts that don't provide an uncertainty? It seems like that's the most important part. Why hasn't bayseyan statistics taken over completely?
- nextos 2y agoBayesian inference is costly and adds a significant amount of complexity to your workflow. But yes, I agree, the way uncertainty is handled is often sloppy. Maximum likelihood estimates are very frequently atypical points in the posterior distribution. It is unsettling to hear people are using this and not computing the entire posterior.
- deleted 2y ago[deleted]