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Bayesian Calibration Tool, Sveinn Palsson, Martin Hunt, Alejandro Strachan
Bayesian Calibration Tool, Sveinn Palsson, Martin Hunt, Alejandro Strachan
The Summer Undergraduate Research Fellowship (SURF) Symposium
Fitting a model to data is common practice in many fields of science. The models may contain unknown parameters and often, the goal is to obtain good estimates of them. A variety of methods have been developed for this purpose. They often differ in complexity, efficiency and accuracy and some may have very limited applications. Bayesian inference methods have recently become popular for the purpose of calibrating model's parameters. The way they treat unknown quantities is completely different from any classical methods. Even though the unknown quantity is a constant, it is treated as a random variable and the desired …