Typically written as P(H|E) in Bayes’s theorem, it is the result of conditionalizing a hypothesis H on an incoming piece of evidence E, read as “the probability of the hypothesis given the evidence.”
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Similar ideas to posterior probability
We often feel anecdotes from people we know more persuasive than scientific evidence. This is because we don’t understand statistics well.
3 key concepts we must always remember:
The common probability distributions are:
He wondered how he could predict the probability of a future event if he only knew how many times it had occurred, or not, in the past. Bayes figured out that even when it comes to uncertain outcomes, we can update our knowledge by incorporating new, relevant information as it becomes available.
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