Escaping from an attractor: Importance sampling and rest points I
Abstract
We discuss importance sampling schemes for the estimation of finite time exit probabilities of small noise diffusions that involve escape from an equilibrium. A factor that complicates the analysis is that rest points are included in the domain of interest. We build importance sampling schemes with provably good performance both pre-asymptotically, that is, for fixed size of the noise, and asymptotically, that is, as the size of the noise goes to zero, and that do not degrade as the time horizon gets large. Simulation studies demonstrate the theoretical results.
Cite
@article{arxiv.1303.0450,
title = {Escaping from an attractor: Importance sampling and rest points I},
author = {Paul Dupuis and Konstantinos Spiliopoulos and Xiang Zhou},
journal= {arXiv preprint arXiv:1303.0450},
year = {2015}
}
Comments
Published at http://dx.doi.org/10.1214/14-AAP1064 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)