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Liu et al., 2019 - Google Patents

Separation and prioritization of uncertainty sources in a raster based flood inundation model using hierarchical Bayesian model averaging

Liu et al., 2019

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Document ID
9520740684927475174
Author
Liu Z
Merwade V
Publication year
Publication venue
Journal of Hydrology

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Snippet

Uncertainty in a hydrodynamic model originates from input data, model structure and parameters. In order to provide the robust model predictions, the Bayesian model averaging (BMA) approach could be used as a multi-model combining method to account for the …
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    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q10/00—Administration; Management
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
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    • G06Q10/063—Operations research or analysis
    • G06Q10/0639—Performance analysis
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