The Inverse-Gamma distribution is a continuous probability distribution that is often used in Bayesian statistics, particularly in the context of prior distributions for variances. It is a two-parameter distribution that is defined over positive real numbers.
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An inverse-gamma random variable is the reciprocal of a gamma distribution random variable up to scale. In shape-scale parameters its density is proportional to on .