A non-informative prior is a type of prior distribution in Bayesian statistics that provides little or no information about the parameters being estimated. It is often used when a researcher wants to remain objective and allows the data to dominate the analysis, especially in situations where prior knowledge is minimal or absent. This approach ensures that the resulting posterior distribution is primarily influenced by the observed data.
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