other · Figshare · 2023

Workflow of model validation framework.

Kimberly A. Dautel (14856705), Ephraim Agyingi (14856708), Pras Pathmanathan (389445)

Cited by 0Open access

Abstract

<p>Peak events are identified from the ground truth, which are then analyzed to determine peak dates and peak magnitudes (and other quantities). Uncertainty in this quantities is accounted for. Simultaneously, model predictions for the peak events are analyzed, and each release’s prediction of peak date and magnitude is identified. The collected information are then analyzed to obtain measures of the performance of the model for each peak event.</p>

Cite this paper

APA 7

(14856705), K. A. D., (14856708), E. A., & (389445), P. P. (2023). Workflow of model validation framework. Figshare. https://doi.org/10.1371/journal.pcbi.1010968.g001

MLA 9

(14856705), Kimberly A. Dautel, et al. “Workflow of model validation framework.” Figshare, 2023, https://doi.org/10.1371/journal.pcbi.1010968.g001.

Chicago

(14856705), Kimberly A. Dautel, Ephraim Agyingi (14856708), and Pras Pathmanathan (389445). 2023. “Workflow of model validation framework.” Figshare. https://doi.org/10.1371/journal.pcbi.1010968.g001.

Harvard

(14856705), K.A.D., (14856708), E.A. and (389445), P.P. (2023) ‘Workflow of model validation framework’, Figshare. Available at: https://doi.org/10.1371/journal.pcbi.1010968.g001.

BibTeX

@misc{148567052023workflow,
  title = {{Workflow of model validation framework.}},
  author = {(14856705), Kimberly A. Dautel and (14856708), Ephraim Agyingi and (389445), Pras Pathmanathan},
  journal = {Figshare},
  year = {2023},
  doi = {10.1371/journal.pcbi.1010968.g001}
}

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