Multilevel particle filters for Lévy-driven stochastic differential equations

Ajay Jasra, Kody J.H. Law, Prince Peprah Osei

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


We develop algorithms for computing expectations with respect to the laws of models associated to stochastic differential equations driven by pure Lévy processes. We consider filtering such processes as well as pricing of path dependent options. We propose a multilevel particle filter to address the computational issues involved in solving these continuum problems. We show via numerical simulations and theoretical results that under suitable assumptions regarding the discretization of the underlying driving Lévy proccess, the cost to obtain MSE O(ϵ2) scales like O(ϵ- 2) for our method, as compared with the standard particle filter O(ϵ- 3).
Original languageEnglish (US)
JournalStatistics and Computing
Issue number4
StatePublished - Jul 15 2019
Externally publishedYes

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Generated from Scopus record by KAUST IRTS on 2019-11-20


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