Asymptotic deviation bounds for cumulative processes - Archive ouverte HAL
Article Dans Une Revue Stochastic Processes and their Applications Année : 2023

Asymptotic deviation bounds for cumulative processes

Résumé

The aim of this paper is to get asymptotic deviation bounds via a Large Deviation Principle (LDP) for cumulative processes also known as compound renewal processes or renewal-reward processes. These processes cumulate independent random variables occurring in time interval given by a renewal process. Our result extends the one obtained in Lefevere et al. (2011) in the sense that we impose no specific dependency between the cumulated random variables and the renewal process and the proof uses Mariani et al. (2014). In the companion paper Cattiaux-Costa-Colombani (2021) we apply this principle to Hawkes processes with inhibition. Under some assumptions Hawkes processes are indeed cumulative processes, but they do not enter the framework of Lefevere et al. (2011).
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Dates et versions

hal-03344425 , version 1 (15-09-2021)
hal-03344425 , version 2 (13-04-2023)

Identifiants

Citer

Patrick Cattiaux, Laetitia Colombani, Manon Costa. Asymptotic deviation bounds for cumulative processes. Stochastic Processes and their Applications, 2023, 163, pp.85-105. ⟨10.1016/j.spa.2023.05.010⟩. ⟨hal-03344425v2⟩
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