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Prediction and Computer Model Calibration Using Outputs From Multi-fidelity Simulators
Computer Experiment Gaussian process Markov Chain Monte Carlo.
2012/9/17
Computer codes are widely used to describe physical processes in lieu of physical observations.In some cases, more than one computer simulator, each with dierent degrees of delity, can be used to ex...
A Dynamic Modelling Strategy for Bayesian Computer Model Emulation
Computer model emulation Dynamic linear model backward sampling Gaussian process Markov chain Monte Carlo
2009/9/24
Computer model evaluation studies build statistical models of deterministic simulation-based predictions of field data to then assess and criticize the computer model and suggest refinemen...
Inferring Climate System Properties Using a Computer Model
model calibration climate change climate sensitivity Bayesian methods
2009/9/22
A method is presented to estimate the probability distributions of
climate system properties based on a hierarchical Bayesian model. At the base
of the model, we use simulations of a climate model i...