Monthly Archives: October 2018

Bayesian Inference – the dangers of “small data” combined with a mis-informed Prior

Continuing on my previous example of trying to figure out the true proportion of blue marbles in a bag: Previously, we used a non-informative, uniform prior for our inference. This time, let’s compare that non-informed prior with an informed prior – … Continue reading

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Why (sample) size matters – Bayesian Inference

[The following example is adapted from Richard McElreath’s excellent “Statistical Rethinking”] Let’s say you have bought a bag of marbles. The marbles in the bag are either blue or white. But you don’t know the proportions, that is, the ratio … Continue reading

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