Moment-generating functions (MGFs) are mathematical functions that summarize all the moments of a probability distribution, providing a way to encode information about the distribution in a single function. They help in characterizing distributions and can be used to derive moments such as mean and variance. Additionally, MGFs can facilitate the analysis of sums of independent random variables, linking to central concepts in probability theory.
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