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Your comments apply to statistics and machine learning as a whole, not just Bayes statistics. At the end of the day all you have is your prior knowledge and wha
by nightski 7y ago
Your comments apply to statistics and machine learning as a whole, not just Bayes statistics. At the end of the day all you have is your prior knowledge and what you learn from the data. If both of those are suspect, it does not matter what method you use. I just don't see how this can be considered a problem specific to Bayesian statistics.
- Retric 7y agoThat’s a qualitative assessment of a quantitative process. Measuring how each system works in specific situations allows you to compare them, which considering the subject matter seems appropriate.
- nightski 7y agoAre you measuring the process or the inputs? Because in your post the inputs are what you criticized (the prior and the data), not the process itself. Every machine learning algorithm takes these inputs. So I was just saying that it seems unfair to penalize Bayesian statistics for this and not any other method.