Moment generating functions (MGFs) are mathematical functions that summarize all the moments of a probability distribution. They are used to characterize probability distributions uniquely and can simplify the process of finding moments such as mean and variance. MGFs are particularly useful when working with sums of independent random variables, as they can help in determining the distribution of the sum.
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