The Bayesian method of reasoning therefore involves adjusting our prior degree of belief in a hypothesis on receipt of new evidence to form a posterior degree of belief in it (‘posterior’ meaning after seeing the evidence). The key to that re-evaluation is to ask the question: if the hypothesis was actually true how likely is it that we would have been able to see that evidence? If we think that evidence is strongly linked to the hypothesis being true, then we should increase our belief in the hypothesis.
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