dc.contributor.author |
Giles, Michael B. |
dc.contributor.author |
Bernal Martínez, Francisco Manuel
|
dc.date.accessioned |
2021-04-12T08:32:53Z |
dc.date.available |
2021-04-12T08:32:53Z |
dc.date.issued |
2018-10-18 |
dc.identifier.bibliographicCitation |
Giles, M. B. & Bernal, F. (2018). Multilevel Estimation of Expected Exit Times and Other Functionals of Stopped Diffusions. SIAM/ASA Journal on Uncertainty Quantification, 6(4), pp. 1454–1474. |
dc.identifier.issn |
2166-2525 |
dc.identifier.uri |
http://hdl.handle.net/10016/32327 |
dc.description.abstract |
This paper proposes and analyses a new multilevel Monte Carlo method for the estimation of mean exit times for multi-dimensional Brownian diffusions, and associated functionals which correspond to solutions to high dimensional parabolic PDEs through the Feynman-Kac formula. In particular, it is proved that the complexity to achieve an ε root-mean-square error is O (ε−2 |log ε|3). |
dc.format.extent |
21 |
dc.language.iso |
eng |
dc.publisher |
Society for Industrial and Applied Mathematics (SIAM) |
dc.rights |
© 2018, Society for Industrial and Applied Mathematics and American Statistical Association |
dc.subject.other |
Multilevel |
dc.subject.other |
Monte Carlo |
dc.subject.other |
Stochastic |
dc.subject.other |
Numerical analysis |
dc.subject.other |
Stoppe diffusions |
dc.title |
Multilevel Estimation of Expected Exit Times and Other Functionals of Stopped Diffusions |
dc.type |
article |
dc.subject.eciencia |
Matemáticas |
dc.identifier.doi |
https://doi.org/10.1137/17M1116660 |
dc.rights.accessRights |
openAccess |
dc.type.version |
publishedVersion |
dc.identifier.publicationfirstpage |
1454 |
dc.identifier.publicationissue |
4 |
dc.identifier.publicationlastpage |
1474 |
dc.identifier.publicationtitle |
SIAM-ASA Journal on Uncertainty Quantification |
dc.identifier.publicationvolume |
6 |
dc.identifier.uxxi |
AR/0000026510 |