Generalised Liouville Processes and their Properties

Edward Hoyle and Levent Ali Meng\"ut\"urk

Papers from arXiv.org

Abstract: We define a new family of multivariate stochastic processes over a finite time horizon that we call Generalised Liouville Processes (GLPs). GLPs are Markov processes constructed by splitting L\'evy random bridges into non-overlapping subprocesses via time changes. We show that the terminal values and the increments of GLPs have generalised multivariate Liouville distributions, justifying their name. We provide various other properties of GLPs and some examples.

Date: 2020-03, Revised 2020-05
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Published in J. Appl. Probab. 57 (2020) 1088-1110

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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2003.11312

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