arXiv · 0805.2072
Estimation of the Brownian dimension of a continuous Itô process
Abstract
In this paper, we consider a $d$-dimensional continuous Itô process which is observed at $n$ regularly spaced times on a given time interval $[0,T]$. This process is driven by a multidimensional Wiener process and our aim is to provide asymptotic statistical procedures which give the minimal dimension of the driving Wiener process, which is between 0 (a pure drift) and $d$. We exhibit several different procedures, all similar to asymptotic testing hypotheses.
Explore related subjects
Keep this discovery
Jean Jacod, Antoine Lejay, Denis Talay. 2008-05-14. Estimation of the Brownian dimension of a continuous Itô process. https://doi.org/10.3150/07-bej6190
Cite the original work for its findings. Save a collection to share your selection of sources.