Inverse Problems
A beta prior is a type of probability distribution used in Bayesian statistics to represent beliefs about a parameter that lies within a finite interval, typically between 0 and 1. This distribution is particularly useful for modeling proportions or probabilities, as it can take on various shapes depending on its parameters, alpha and beta. The beta prior serves as the foundation for updating beliefs when new data is observed, leading to the construction of the posterior distribution.
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