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MODEL IMPERFECTION AND PREDICTING PREDICTABILITY
International Journal of Bifurcation and Chaos, 2013It has been argued that Lyapunov exponents as a measure of predictability are of limited value because they only provide a global average. Characterizing an attractor by a distribution of times for initial uncertainties to increase by a factor of q has been suggested as a more useful alternative.
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When Predictions Don't Predict
Australian and New Zealand Journal of Obstetrics and Gynaecology, 1991EDITORIAL COMMENT: We accepted this paper to remind readers that the rules of clinical common sense as well as the results of statistical calculations are needed to judge published results of clinical trials. Statistical rules for design of a trial should be followed, and advice of a statistician sought before rather than after a study begins.
A L, Speirs, R H, Asch, S J, Silber
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El Niño prediction and predictability
Journal of Computational Physics, 2008El Nino-Southern Oscillation (ENSO) is by far the most energetic, and at present also the most predictable, short-term fluctuation in the Earth's climate system, though the limits of its predictability are still a subject of considerable debate. As a result of over two-decades of intensive observational, theoretical and modeling efforts, ENSO's basic ...
Dake Chen, Mark A. Cane
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2011
The current theory of runtime enforcement is based on two properties for evaluating an enforcement mechanism: soundness and transparency. Soundness defines that the output is always good ("no bad traces slip out") and transparency defines that good input is not changed ("no surprises on good traces").
Nataliia Bielova, Fabio Massacci
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The current theory of runtime enforcement is based on two properties for evaluating an enforcement mechanism: soundness and transparency. Soundness defines that the output is always good ("no bad traces slip out") and transparency defines that good input is not changed ("no surprises on good traces").
Nataliia Bielova, Fabio Massacci
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Protein folding: Predicting predicting
Proteins: Structure, Function, and Bioinformatics, 1994G D, Rose, T P, Creamer
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Handbook of linear data-driven predictive control: Theory, implementation and design
Annual Reviews in Control, 2023Valentina Breschi +2 more
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Predictive biomarkers may help individualize treatment for patients with follicular lymphoma
Ca-A Cancer Journal for Clinicians, 2013Mary Kay Barton
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