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This article is cited in 3 scientific papers (total in 3 papers)
Probability theory and mathematical statistics
Large deviations for processes on half-line: Random Walk and Compound Poisson Process
F. C. Klebanera, A. A. Mogulskiib a School of Mathematical Sciences,
Monash University, Australia
b Sobolev Institute of Mathematics,
pr. Koptyuga, 4,
Novosibirsk, 630090, Russia
Abstract:
We establish, under the Cramer exponential moment condition in a neighbourhood of zero, the Extended Large Deviation Principle for the Random Walk and the Compound Poisson processes in the metric space $\mathbb{V}$ of functions of finite variation on $[0,\infty)$ with the modified Borovkov metric.
Keywords:
Large Deviations, Random Walk, Compound Poisson Process, Cramer's condition, rate function, Extended Large Deviation Principle.
Received July 2, 2018, published January 24, 2019
Citation:
F. C. Klebaner, A. A. Mogulskii, “Large deviations for processes on half-line: Random Walk and Compound Poisson Process”, Sib. Èlektron. Mat. Izv., 16 (2019), 1–20
Linking options:
https://www.mathnet.ru/eng/semr1043 https://www.mathnet.ru/eng/semr/v16/p1
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