Pathwise stability of likelihood estimators for diffusions via rough paths
Probability
2016-09-29 v2
Abstract
We consider the classical estimation problem of an unknown drift parameter within classes of nondegenerate diffusion processes. Using rough path theory (in the sense of T. Lyons), we analyze the Maximum Likelihood Estimator (MLE) with regard to its pathwise stability properties as well as robustness toward misspecification in volatility and even the very nature of the noise. Two numerical examples demonstrate the practical relevance of our results.
Cite
@article{arxiv.1311.1061,
title = {Pathwise stability of likelihood estimators for diffusions via rough paths},
author = {Joscha Diehl and Peter Friz and Hilmar Mai},
journal= {arXiv preprint arXiv:1311.1061},
year = {2016}
}
Comments
Published at http://dx.doi.org/10.1214/15-AAP1143 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)