Sensitivity analysis of Stochastic Fluid Models: Stationary and transient quantities with applications

Fuente: arXiv
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Main Authors: Aksamit, Anna, O'Reilly, Małgorzata M., Palmowski, Zbigniew
Format: Preprint
Published: 2026
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author Aksamit, Anna
O'Reilly, Małgorzata M.
Palmowski, Zbigniew
author_facet Aksamit, Anna
O'Reilly, Małgorzata M.
Palmowski, Zbigniew
contents We establish results for the first sensitivity analysis of the stochastic fluid models (SFMs). We derive expressions for the sensitivity analysis of the key stationary and transient (time-dependent) quantities of this class of models. We also construct numerical examples to demonstrate the application potential of our methodology in queueing systems, such as deteriorating systems and insurance risk processes. This work forms foundation for the sensitivity analysis of other Markovian modulated models, which are generalisations of the SFMs, and have widespread applications.
format Preprint
id arxiv_https___arxiv_org_abs_2605_21209
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Sensitivity analysis of Stochastic Fluid Models: Stationary and transient quantities with applications
Aksamit, Anna
O'Reilly, Małgorzata M.
Palmowski, Zbigniew
Probability
We establish results for the first sensitivity analysis of the stochastic fluid models (SFMs). We derive expressions for the sensitivity analysis of the key stationary and transient (time-dependent) quantities of this class of models. We also construct numerical examples to demonstrate the application potential of our methodology in queueing systems, such as deteriorating systems and insurance risk processes. This work forms foundation for the sensitivity analysis of other Markovian modulated models, which are generalisations of the SFMs, and have widespread applications.
title Sensitivity analysis of Stochastic Fluid Models: Stationary and transient quantities with applications
topic Probability
url https://arxiv.org/abs/2605.21209