Abstract
This chapter is devoted to local long-tailedness and to local subexponentiality. First we consider densities with respect to either Lebesgue measure on \(\mathbb{R}\) or counting measure on \(\mathbb{Z}\). Next we study the asymptotic behaviour of the probabilities to belong to an interval of a fixed length. We give the analogues of the basic properties of the tail probabilities including two analogues of Kesten’s estimate, and provide sufficient conditions for probability distributions to have these local properties.
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© 2011 Springer Science+Business Media, LLC
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Foss, S., Korshunov, D., Zachary, S. (2011). Densities and Local Probabilities. In: An Introduction to Heavy-Tailed and Subexponential Distributions. Springer Series in Operations Research and Financial Engineering, vol 38. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9473-8_4
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DOI: https://doi.org/10.1007/978-1-4419-9473-8_4
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-9472-1
Online ISBN: 978-1-4419-9473-8
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