Abstract
Self-decomposable distributions are known to be absolutely continuous. In this note analogues of the concept of self-decomposability are proposed for distributions on the set ℕ0 of nonnegative integers. To each of them corresponds an analogue of multiplication (in distribution) that preserves ℕ0-valuedness and is characterized by a composition semigroup of probability generating functions, such as occur in branching processes.
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References
Athreya, K.B. & Ney, P.E., Branching processes. Springer, Berlin 1972.
Fisz, M. & Varadarajan, V.S., A condition for absolute continuity of infinitely divisible distribution functions. Z. Wahrscheinlichkeitstheorie verw. Gebiete 1 (1963), 335–339.
Forst, G., A characterization of self-decomposable probabilities on the half-line. Z. Wahrscheinlichkeitstheorie verw. Gebiete 49 (1979), 349–352.
van Harn, K., Classifying infinitely divisible distributions by functional equations. Math. Centre Tracts 103, Math. Centre, Amsterdam 1978.
Harris, T.E., The theory of branching processes. Springer, Berlin 1963.
Steutel, F.W. & van Harn, K., Discrete analogues of self-decomposability and stability. Ann. Probability 7 (1979), 893–899.
Steutel, F.W., Vervaat, W. & Wolfe, S.J., Integer-valued branching processes with immigration. Forthcoming.
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© 1981 Springer-Verlag
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van Harn, K., Steutel, F.W., Vervaat, W. (1981). Self-decomposable discrete distributions and branching processes. In: Dugué, D., Lukacs, E., Rohatgi, V.K. (eds) Analytical Methods in Probability Theory. Lecture Notes in Mathematics, vol 861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0097314
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DOI: https://doi.org/10.1007/BFb0097314
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