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by dionhaefner
1706 days ago
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I basically determine p via Bayesian inference within every bin (via a conjugate beta prior for p which gives a beta posterior). If that’s not Bayesian then I don’t know what is :) Yes the pruning can be done with a frequentist method too. Yes you can come up with smarter / more statistically sound ways to construct these binnings. Do they work on >1e9 data points? |
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