Stochastic Computer Model Calibration and Uncertainty Quantification

Stochastic Computer Model Calibration and Uncertainty Quantification

This dissertation presents novel methodologies 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 (unob...

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Bibliographic Details
Main Author: Fadikar, Arindam
Other Authors: Statistics
Format: Others
Published: Virginia Tech 2019
Subjects:
Computer model
gaussian process
sensitivity analysis
epidemiology
bayesian estimation
mcmc
Online Access:http://hdl.handle.net/10919/91985

Internet

http://hdl.handle.net/10919/91985

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