Authors: G A Pavliotis A M Stuart
Publish Date: 2007/03/23
Volume: 127, Issue: 4, Pages: 741-781
Abstract
We study the problem of parameter estimation for timeseries possessing two widely separated characteristic time scales The aim is to understand situations where it is desirable to fit a homogenized singlescale model to such multiscale data We demonstrate numerically and analytically that if the data is sampled too finely then the parameter fit will fail in that the correct parameters in the homogenized model are not identified We also show numerically and analytically that if the data is subsampled at an appropriate rate then it is possible to estimate the coefficients of the homogenized model correctly
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