Derives identities for inverse rising factorial moments in random variables, suggesting new computational approaches.
Inverse rising factorial moments [Formula: see text] are fundamental quantities for positive integer-valued random variables, with broad applications in probability and combinatorics. Despite their importance, there is a lack of explicit, closed-form algebraic identities connecting [Formula: see text] to established combinatorial quantities and a limited framework for their multivariate extension. Addressing these gaps, this study investigates [Formula: see text] to derive more computationally efficient alternatives. We establish both a novel finite sum identity and an infinite series expression for [Formula: see text]. Furthermore, we provide a closed-form expression for the geometric random variable and extend these results to multivariate random variables. Finally, we extend the concept of [Formula: see text] to positive real-valued continuous random variables, deriving a finite sum identity for the beta random variable.
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Li et al. (2026) studied this question.
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