Probabilistic Modeling of Heteroscedastic Laboratory Experiments Using Gaussian Process Regression

AbstractThis paper proposes an extension to Gaussian process regression (GPR) for data sets composed of only a few replicated specimens and displaying a heteroscedastic behavior. Because there are ...

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