prior distributions

Prior distributions are probability distributions used to represent the uncertainty about the parameters of a statistical model before any data is observed. They express beliefs or knowledge about the parameters based on prior information or assumptions and serve as a starting point for updating and deriving posterior distributions through Bayesian inference.

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