Understanding the Differences Between Bayesian and Frequentist ...
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Understanding the Differences Between Bayesian and Frequentist ...
Quantifying this updated probability is an application of Bayesian inferencing. We’re no longer asking the simple, one-part question “What is the probability that the person with a pocket protector is an engineer?” Instead, we’re asking the compound question “What is the probability that the person with a pocket protector is an engineer, given the
... See morethis is usually stated as: the probability of your hypothesis (‘the die is weighted’) given your evidence (the rolls you’ve seen) is proportional to the probability of your evidence given your hypothesis (the odds you’d see those rolls if the die were weighted) times the probability of your hypothesis (how likely is the die to be weighted to begin
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