Inference of stochastic nonlinear oscillators with applications to physiological problems
Data Analysis, Statistics and Probability
2009-11-10 v1 Computational Physics
Abstract
A new method of inferencing of coupled stochastic nonlinear oscillators is described. The technique does not require extensive global optimization, provides optimal compensation for noise-induced errors and is robust in a broad range of dynamical models. We illustrate the main ideas of the technique by inferencing a model of five globally and locally coupled noisy oscillators. Specific modifications of the technique for inferencing hidden degrees of freedom of coupled nonlinear oscillators is discussed in the context of physiological applications.
Cite
@article{arxiv.physics/0403121,
title = {Inference of stochastic nonlinear oscillators with applications to physiological problems},
author = {Vadim N. Smelyanskiy and Dmitry G. Luchinsky},
journal= {arXiv preprint arXiv:physics/0403121},
year = {2009}
}
Comments
11 pages, 10 figures, 2 tables Fluctuations and Noise 2004, SPIE Conference, 25-28 May 2004 Gran Hotel Costa Meloneras Maspalomas, Gran Canaria, Spain