Under a complex technical condition, similar to such used in extreme value theory, we find the rate q(ɛ)−1 at which a stochastic process with stationary increments ξ should be sampled, for the sampled process ξ(⌊⋅/q(ɛ)⌋q(ɛ)) to deviate from ξ by at most ɛ, with a given probability, asymptotically as ɛ↓0. The canonical application is to discretization errors in computer simulation of stochastic processes.
@article{1099674087,
author = {Albin, J. M. P.},
title = {On sampling of stationary increment processes},
journal = {Ann. Appl. Probab.},
volume = {14},
number = {1},
year = {2004},
pages = { 2016-2037},
language = {en},
url = {http://dml.mathdoc.fr/item/1099674087}
}
Albin, J. M. P. On sampling of stationary increment processes. Ann. Appl. Probab., Tome 14 (2004) no. 1, pp. 2016-2037. http://gdmltest.u-ga.fr/item/1099674087/