So, a programmer, a frequentist, and a bayesian walk into a bar. No this post isn’t really on the path to some politically incorrect ste ..." /> So, a programmer, a frequentist, and a bayesian walk into a bar. No this post isn’t really on the path to some politically incorrect ste ..." /> So, a programmer, a frequentist, and a bayesian walk into a bar. No this post isn’t really on the path to some politically incorrect ste ..." />

Comparing Frequentist, Bayesian and Simulation methods and conclusions

By R-bloggers - 2019-05-22

Description

So, a programmer, a frequentist, and a bayesian walk into a bar. No this post isn’t really on the path to some politically incorrect ste ...

Summary

So, a programmer, a frequentist, and a bayesian walk into a bar.
In practice, most Bayesian data analysts tend not to talk in terms of the raw posterior probabilities.
At the end of the Bayesian’s efforts they can make what feel like very natural statements of interest, for example, “The evidence provided by our data corresponds to odds of 42:1 that these runners are not all equally fast.
Running this code snippet essentially combines what we know in both directions of the hypothesis.

Topics

Backend (0.35)
Database (0.18)
Machine_Learning (0.11)

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