Basic Bayesian reasoning: a better way to think (Part 3)
In my last post, I introduced Bayes' theorem: P(hypothesis|observation) = P(observation|hypothesis)/P(observation) * P(hypothesis) Now, this is a powerful equation that tells us how to use observed evidence to update our beliefs about a hypothesis. But as I mentioned, it has two difficulties with its use: first, the probability prior to the observation - P(hypothesis) - […]