Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866912347834023936 |
|---|---|
| author | Iguchi, Yuga Jasra, Ajay Maama, Mohamed Beskos, Alexandros |
| author_facet | Iguchi, Yuga Jasra, Ajay Maama, Mohamed Beskos, Alexandros |
| contents | We present a new antithetic multilevel Monte Carlo (MLMC) method for the estimation of expectations with respect to laws of diffusion processes that can be elliptic or hypo-elliptic. In particular, we consider the case where one has to resort to time discretization of the diffusion and numerical simulation of such schemes. Inspired by recent works, we introduce a new MLMC estimator of expectations, which does not require any Lévy area simulation and has a strong error of order 2 and a weak error of order 2. We then show how this approach can be used in the context of the filtering problem associated to partially observed diffusions with discrete time observations. We illustrate that in numerical simulations our new approaches provide efficiency gains for several problems, particularly when the diffusion process is hypo-elliptic, relative to some existing methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_13489 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications Iguchi, Yuga Jasra, Ajay Maama, Mohamed Beskos, Alexandros Numerical Analysis Computation Methodology We present a new antithetic multilevel Monte Carlo (MLMC) method for the estimation of expectations with respect to laws of diffusion processes that can be elliptic or hypo-elliptic. In particular, we consider the case where one has to resort to time discretization of the diffusion and numerical simulation of such schemes. Inspired by recent works, we introduce a new MLMC estimator of expectations, which does not require any Lévy area simulation and has a strong error of order 2 and a weak error of order 2. We then show how this approach can be used in the context of the filtering problem associated to partially observed diffusions with discrete time observations. We illustrate that in numerical simulations our new approaches provide efficiency gains for several problems, particularly when the diffusion process is hypo-elliptic, relative to some existing methods. |
| title | Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications |
| topic | Numerical Analysis Computation Methodology |
| url | https://arxiv.org/abs/2403.13489 |