Results 1 to 10 of about 474,460 (164)
Representational ethical model calibration [PDF]
npj Digital Medicine, 2022 Equity is widely held to be fundamental to the ethics of healthcare. In the context of clinical decision-making, it rests on the comparative fidelity of the intelligence – evidence-based or intuitive – guiding the management of each individual patient ...
Robert Carruthers +8 more
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Land Surface Model Calibration Using Satellite Remote Sensing Data [PDF]
Sensors, 2023 Satellite remote sensing provides a unique opportunity for calibrating land surface models due to their direct measurements of various hydrological variables as well as extensive spatial and temporal coverage.
Mehdi Khaki
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SWIFT Calibration of the Heston Model [PDF]
SSRN Electronic Journal, 2021 In the present work, the SWIFT method for pricing European options is extended to Heston model calibration. The computation of the option price gradient is simplified thanks to the knowledge of the characteristic function in closed form. The proposed calibration machinery appears to be extremely fast, in particular for a single expiry and multiple ...
Romo, Eudald, Ortiz Gracia, Luis
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A tutorial on calibration measurements and calibration models for clinical prediction models [PDF]
Journal of the American Medical Informatics Association, 2020 AbstractOur primary objective is to provide the clinical informatics community with an introductory tutorial on calibration measurements and calibration models for predictive models using existing R packages and custom implemented code in R on real and simulated data.
Yingxiang Huang +4 more
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Sensors, 2021 Good air quality is essential for both human beings and the environment in general. The three most harmful air pollutants are nitrogen dioxide (NO2), ozone (O3) and particulate matter.
Diego Sales-Lérida +3 more
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A Generalized Weighted Monte Carlo Calibration Method for Derivative Pricing
Mathematics, 2021 The weighted Monte Carlo method is an elegant technique to calibrate asset pricing models to market prices. Unfortunately, the accuracy can drop quite quickly for out-of-sample options as one moves away from the strike range and maturity range of the ...
Hilmar Gudmundsson, David Vyncke
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Frontiers in Built Environment, 2022 The objective of this study is to examine a machine learning (ML) framework for calibrating the parameters of analytical models of complex nonlinear structural systems where experimental data is significantly limited.
Angela Lanning +2 more
doaj +1 more source
Remote Sensing, 2023 Gravity Recovery and Climate Experiment (GRACE)-derived groundwater storage anomalies (GWSA) have been used to highlight groundwater depletion in regional aquifer systems worldwide.
Jianchong Sun +5 more
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Bathymetric Data Requirements for Operational Coastal Erosion Forecasting Using XBeach
Journal of Marine Science and Engineering, 2021 There is an increasing interest in the broad-scale implementation of coastal erosion early warning systems (EWS) with the goal of enhancing community preparedness to extreme coastal storm wave events.
Nashwan Matheen +5 more
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Statistical and Type II Error Assessment of a Runoff Predictive Model in Peninsula Malaysia
Mathematics, 2021 Flood related disasters continue to threaten mankind despite preventative efforts in technological advancement. Since 1954, the Soil Conservation Services (SCS) Curve Number (CN0.2) rainfall-runoff model has been widely used but reportedly produced ...
Lloyd Ling +2 more
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