Parameter Estimation for Multiscale Diffusions
- Creators
- Pavliotis, G. A.
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Stuart, A. M.
Abstract
We study the problem of parameter estimation for time-series possessing two, widely separated, characteristic time scales. The aim is to understand situations where it is desirable to fit a homogenized single-scale 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. The ideas are studied in the context of thermally activated motion in a two-scale potential. However the ideas may be expected to transfer to other situations where it is desirable to fit an averaged or homogenized equation to multiscale data.
Additional Information
© 2007 Springer Science+Business Media, LLC. Received September 22, 2006; accepted February 7, 2007 Published Online: March 23, 2007. The authors are grateful to Ch. Schütte for useful discussions concerning molecular dynamics, leading us to formulate this problem. They also thank S. Olhede for useful discussions and comments.Additional details
- Eprint ID
- 78163
- Resolver ID
- CaltechAUTHORS:20170613-124705885
- Created
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2017-06-13Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field
- Other Numbering System Name
- Andrew Stuart
- Other Numbering System Identifier
- J69