An uninformative prior is a type of prior distribution that provides minimal or no specific information about the parameters of interest in a Bayesian analysis. This kind of prior is often used to reflect a state of ignorance regarding the parameter values, allowing the data to play a more significant role in shaping the posterior distribution. The aim is to avoid introducing bias into the analysis while still enabling the incorporation of prior beliefs when necessary.
congrats on reading the definition of Uninformative Prior. now let's actually learn it.