Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, a priori knowledge is prior knowledge about a population, rather than that estimated by recent observation. It is common in Bayesian inference to make inferences conditional upon this knowledge, and the integration of a priori knowledge is the central difference between the Bayesian and Frequentist approach to statistics. We need not be 100% certain about something before it can be considered a priori knowledge, but conducting estimation conditional upon assumptions for which there is little evidence should be avoided.

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