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In Bayesian statistical, a prior probability distribution, often simply called the prior, of an uncertain quantity is the probability distribution that would express one’s beliefs about this quantity before some evidence is taken into account. This enables facts taken from other sources to be imposed on a model. it also enables a model to work with data sources of different levels of granularity.

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