A uniform prior is a type of prior probability distribution that assumes all outcomes are equally likely before any evidence is taken into account. This means that each possible value of a parameter has the same prior probability, indicating a state of complete ignorance about which value is more plausible. In Bayesian statistics, using a uniform prior helps to simplify the process of updating beliefs based on observed data, as it provides a neutral starting point for inference.
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