An uninformative prior is a type of prior distribution used in Bayesian statistics that conveys little to no information about the parameter being estimated. This approach allows the data to play a more significant role in determining the posterior distribution, ensuring that the analysis remains unbiased by previous beliefs or assumptions.
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