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Exact simulation of the extrema of stable processes
Journal article   Open access

Exact simulation of the extrema of stable processes

Jorge I. González Cázares, Aleksandar Mijatović and Gerónimo Uribe Bravo
Advances in Applied Probability
2019

Abstract

Markov chains Coupling from the past Perfect simulation perpetuities Random variate generations simulation Stable process Stability criteria
We exhibit an exact simulation algorithm for the supremum of a stable process over a finite time interval using dominated coupling from the past (DCFTP). We establish a novel perpetuity equation for the supremum (via the representation of the concave majorants of Lévy processes [27]) and use it to construct a Markov chain in the DCFTP algorithm. We prove that the number of steps taken backwards in time before the coalescence is detected is finite. We analyse the performance of the algorithm numerically (the code, written in Julia 1.0, is available on GitHub). © Applied Probability Trust 2019.
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https://doi.org/10.48550/arXiv.1806.01870View
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