Date:
15-01-2019
The three most important elements of Bayesian statistics are:
- The Prior: the relative plausibility of hypothesis, before seeing the data
- Likelihood: the predictive updating factor
- The Posterior: the relative plausibility of hypothesis, after seeing the data
For more information about Bayesian statistics, check out my summary of the fourth block of WSRt
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