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# Improving model fidelity and sensitivity for complex systems through empirical information theory.

@article{Majda2011ImprovingMF, title={Improving model fidelity and sensitivity for complex systems through empirical information theory.}, author={Andrew J. Majda and Boris Gershgorin}, journal={Proceedings of the National Academy of Sciences of the United States of America}, year={2011}, volume={108 25}, pages={10044-9} }

- Published 2011 in Proceedings of the National Academy of Sciences…
DOI:10.1073/pnas.1105174108

In many situations in contemporary science and engineering, the analysis and prediction of crucial phenomena occur often through complex dynamical equations that have significant model errors compared with the true signal in nature. Here, a systematic information theoretic framework is developed to improve model fidelity and sensitivity for complex systems including perturbation formulas and multimodel ensembles that can be utilized to improve both aspects of model error simultaneously. A suite… CONTINUE READING

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