Andersen, Lars Norvang, Laub, Patrick J and Rojas-Nandayapa, Leonardo ORCID: 0000-0001-5652-3183
(2018)
Efficient Simulation for Dependent Rare Events with Applications to Extremes.
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 20 (1).
pp. 385-409.
This is the latest version of this item.
Text
1609.09725v2.pdf - Submitted version Download (601kB) |
|
Text
Max.pdf - Author Accepted Manuscript Download (518kB) |
Abstract
We consider the general problem of estimating probabilities which arise as a union of dependent events. We propose a flexible series of estimators for such probabilities, and describe variance reduction schemes applied to the proposed estimators. We derive efficiency results of the estimators in rare-event settings, in particular those associated with extremes. Finally, we examine the performance of our estimators in a numerical example.
Item Type: | Article |
---|---|
Additional Information: | Fixed a few minor typographical errors |
Uncontrolled Keywords: | Rare-event probabilities, Bounded relative error, Extremal values, Copulas |
Depositing User: | Symplectic Admin |
Date Deposited: | 11 Dec 2017 11:40 |
Last Modified: | 19 Jan 2023 06:48 |
DOI: | 10.1007/s11009-017-9557-4 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3013726 |
Available Versions of this Item
-
Efficient Simulation for Dependent Rare Events with Applications to Extremes. (deposited 04 Nov 2016 08:38)
- Efficient Simulation for Dependent Rare Events with Applications to Extremes. (deposited 11 Dec 2017 11:40) [Currently Displayed]