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Abel Expansions and Generalized Abel Polynomials in Stochastic Models

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Athens Conference on Applied Probability and Time Series Analysis

Part of the book series: Lecture Notes in Statistics ((LNS,volume 114))

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Abstract

To build expansions, the family of the Abel polynomials \( \left\{ {\left( {x - a} \right){{\left( {x - a - bn} \right)}^{n - 1}}/n!{\text{; n}} \in \mathbb{N}} \right\} \) can be used as a basis in place of the classical family of monomials \(\left\{ {{x^n}/n!{\text{; }}n \in \mathbb{N}} \right\}\). In that case we get Abel’s expansions that generalize Taylor’s ones. The purpose of the present paper is to show that these polynomials and expansions are present implicitely in several probability models, and that making explicit their hidden algebraic structure is very useful. More complex stochastic models can then also be considered, after extending the Abelian structure to more general polynomials.

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References

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© 1996 Springer Science+Business Media New York

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Picard, P., Lefevre, C. (1996). Abel Expansions and Generalized Abel Polynomials in Stochastic Models. In: Heyde, C.C., Prohorov, Y.V., Pyke, R., Rachev, S.T. (eds) Athens Conference on Applied Probability and Time Series Analysis. Lecture Notes in Statistics, vol 114. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0749-8_4

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  • DOI: https://doi.org/10.1007/978-1-4612-0749-8_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94788-4

  • Online ISBN: 978-1-4612-0749-8

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