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Stochastic model reconstruction from incomplete noisy measurements

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Stochastic model reconstruction from incomplete noisy measurements. / Luchinsky, D. G.; Smelyanskiy, V. N.; Smith, J.
Unsolved problems of noise fluctuations: UPoN 2005: Fourth International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology, and High Technology. American Institute of Physics Inc., 2005. p. 539-545 (AIP Conference Proceedings; Vol. 800).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Luchinsky, DG, Smelyanskiy, VN & Smith, J 2005, Stochastic model reconstruction from incomplete noisy measurements. in Unsolved problems of noise fluctuations: UPoN 2005: Fourth International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology, and High Technology. AIP Conference Proceedings, vol. 800, American Institute of Physics Inc., pp. 539-545, UPoN 2005: 4th International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology and High Technology, Gallipoli, Lecce, Italy, 6/06/05. https://doi.org/10.1063/1.2138665

APA

Luchinsky, D. G., Smelyanskiy, V. N., & Smith, J. (2005). Stochastic model reconstruction from incomplete noisy measurements. In Unsolved problems of noise fluctuations: UPoN 2005: Fourth International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology, and High Technology (pp. 539-545). (AIP Conference Proceedings; Vol. 800). American Institute of Physics Inc.. https://doi.org/10.1063/1.2138665

Vancouver

Luchinsky DG, Smelyanskiy VN, Smith J. Stochastic model reconstruction from incomplete noisy measurements. In Unsolved problems of noise fluctuations: UPoN 2005: Fourth International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology, and High Technology. American Institute of Physics Inc. 2005. p. 539-545. (AIP Conference Proceedings). doi: 10.1063/1.2138665

Author

Luchinsky, D. G. ; Smelyanskiy, V. N. ; Smith, J. / Stochastic model reconstruction from incomplete noisy measurements. Unsolved problems of noise fluctuations: UPoN 2005: Fourth International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology, and High Technology. American Institute of Physics Inc., 2005. pp. 539-545 (AIP Conference Proceedings).

Bibtex

@inproceedings{cd01f517874b4f2e9e5b4ed4f68acc0c,
title = "Stochastic model reconstruction from incomplete noisy measurements",
abstract = "A technique of reconstruction of both unknown state and unknown vector-field of stochastic nonlinear dynamical system is introduced. It is based on the application of the path-integral theory to the full Bayesian inference and extended Kalman filter theory. We illustrate the application of this technique to the reconstruction of the model of FitzHugh-Nagumo oscillator from the corrupted by noise measurements. A number of important unsolved problems is identified.",
author = "Luchinsky, {D. G.} and Smelyanskiy, {V. N.} and J. Smith",
year = "2005",
month = nov,
day = "14",
doi = "10.1063/1.2138665",
language = "English",
isbn = "0735402892",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
pages = "539--545",
booktitle = "Unsolved problems of noise fluctuations",
note = "UPoN 2005: 4th International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology and High Technology ; Conference date: 06-06-2005 Through 10-06-2005",

}

RIS

TY - GEN

T1 - Stochastic model reconstruction from incomplete noisy measurements

AU - Luchinsky, D. G.

AU - Smelyanskiy, V. N.

AU - Smith, J.

PY - 2005/11/14

Y1 - 2005/11/14

N2 - A technique of reconstruction of both unknown state and unknown vector-field of stochastic nonlinear dynamical system is introduced. It is based on the application of the path-integral theory to the full Bayesian inference and extended Kalman filter theory. We illustrate the application of this technique to the reconstruction of the model of FitzHugh-Nagumo oscillator from the corrupted by noise measurements. A number of important unsolved problems is identified.

AB - A technique of reconstruction of both unknown state and unknown vector-field of stochastic nonlinear dynamical system is introduced. It is based on the application of the path-integral theory to the full Bayesian inference and extended Kalman filter theory. We illustrate the application of this technique to the reconstruction of the model of FitzHugh-Nagumo oscillator from the corrupted by noise measurements. A number of important unsolved problems is identified.

U2 - 10.1063/1.2138665

DO - 10.1063/1.2138665

M3 - Conference contribution/Paper

AN - SCOPUS:33750304294

SN - 0735402892

SN - 9780735402898

T3 - AIP Conference Proceedings

SP - 539

EP - 545

BT - Unsolved problems of noise fluctuations

PB - American Institute of Physics Inc.

T2 - UPoN 2005: 4th International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology and High Technology

Y2 - 6 June 2005 through 10 June 2005

ER -