Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"calibration and uncertainty"”.
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Stochastic Computer Model Calibration and Uncertainty Quantification
… in the field of stochastic computer model calibration and uncertainty quantification. Simulation models are widely used in studying physical systems, which are often represented by a set of mathematical equations. Inference on true physical system (unobserved or partially observed) is drawn …
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Sequential learning, large-scale calibration, and uncertainty quantification
… power, computer experiments continue to expand the boundaries and drive down the cost of various scientific discoveries. New challenges keep arising from designing, analyzing, modeling, calibrating, optimizing, and predicting in computer experiments. This dissertation consists of six …
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Geomechanical Reservoir Model Calibration and Uncertainty Assessment from Microseismic Data
… been linked to the pore pressure, temperature, and in-situ stress variations which result in crack initiation. The resulting clouds of micro-seismic events are believed to carry information about the underlying coupled flow, geomechanics, and thermal processes and hence rock hydraulic and …
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Validation, Calibration, and Uncertainty Quantification of the Wofost Crop Simulation Model
… to unlock the agricultural potential in Africa and help farmers improve their crop productivity by enabling them to make more precise and timely decisions about crop management via better prediction tools. The absence of large, comprehensive, and structured agricultural data, however, limits the …
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Supervised Calibration and Uncertainty Quantification of Subgrid Closure Parameters using Ensemble Kalman Inversion
… are increasingly being used to identify and remove structural biases in dynamical models for real-world systems. However, because model updates alter the dependency of a model on its free parameters, evidence about structural biases is often muddied by the variable influences of …
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Automatic calibration of an urban microclimate model under uncertainty
… play an important role in the design, analysis, and optimization of modern energy and environmental systems at building or urban scale. However, due to the extreme complexity of built environments and the sheer number of interacting parameters, it is difficult to obtain an accurate representation …
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Probabilistic Time-to-Event Modeling Approaches for Risk Profiling
… science applications leverage abundant molecular and electronic health data, providing opportunities for machine learning to build statistical models to support clinical practice. Time-to-event analysis, also called survival analysis, stands as one of the most representative examples of such …