Maximum Likelihood Estimation of Drift and Diffusion Functions
arXiv:physics/0611102 · doi:10.1016/j.physleta.2007.03.082
Abstract
The maximum likelihood approach is adapted to the problem of estimation of drift and diffusion functions of stochastic processes from measured time series. We reconcile a previously devised iterative procedure [Kleinhans et al., Physics Letters A (346), 2005] and put the application of the method on a firm theoretical basis.
5 pages, 2 figures