For a nonnegative integer-valued random variable X, its probability generating function isThe generating function of a sum of independent random variables is the product of their generating functions.
GX(s)=E[sX]=∑n≥0P(X=n)sn.
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- Binomial branching process
- Branching process conditioned on extinction
- Capped geometric waiting time
- Claim count distribution
- Extinction probability of a branching process
- First-return generating function of the simple symmetric random walk
- Generating function
- Offspring distribution of a branching process
- Panjer claim-count class
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- Poisson branching process
- Renewal equation
- Shifted-exponential Poisson count recursion
- Zero-truncated claim-count distribution
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A probability-generating function (PGF) is a specific type of power series that is used to encode the probabilities of a discrete random variable. It is particularly useful in the study of probability distributions and in solving problems involving sums of independent random variables. ### Definition For a discrete random variable \( X \) that takes non-negative integer values (i.e.