Since diffusion processes arise in so many different fields, efficient tech-nics for the simulation of sample paths, like discretization schemes, represent crucial tools in applied probability. Such methods permit to obtain approximations of the first-passage times as a by-product. For efficiency reasons, it is particularly challenging to simulate directly this hitting time by avoiding to construct the whole paths. In the Brownian case, the distribution of the first-passage time is explicitly known and can be easily used for simulation purposes. The authors introduce a new rejection sampling algorithm which permits to perform an exact simulation of the first-passage time for general one-dimensional diffusion processes. The efficiency of the method, which is essentially based on Girsanov's transformation , is described through theoretical results and numerical examples.
@article{hal-01524814,
author = {Herrmann, Samuel and Zucca, Cristina},
title = {Exact simulation of the first-passage time of diffusions},
journal = {HAL},
volume = {2017},
number = {0},
year = {2017},
language = {en},
url = {http://dml.mathdoc.fr/item/hal-01524814}
}
Herrmann, Samuel; Zucca, Cristina. Exact simulation of the first-passage time of diffusions. HAL, Tome 2017 (2017) no. 0, . http://gdmltest.u-ga.fr/item/hal-01524814/