👉 In probability theory, a superdistribution is a distribution of random variables that can be expressed as a sum of two or more simpler distributions. These distributions are not independent and they may depend on the values of other variables. For example, if a random variable X has a normal distribution with mean μ and variance σ2, then its superdistribution would have a gamma distribution with shape parameter k = 1/σ2 and scale parameter α = 1/(k + 1). This is because the
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