The cumulant generating function (CGF) is a function that provides a way to obtain the cumulants of a probability distribution, which are important for characterizing the distribution's shape and properties. It is defined as the logarithm of the moment generating function, which means it connects the moments of the distribution to its cumulants. Understanding the CGF helps in simplifying complex calculations involving random variables and their distributions.
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