A priori (statistics)# WaterWorld - 未名水世界
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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 ther
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 ther