Predicting Output from Computer Experiments
This chapter discusses techniques for predicting the output of a computer model based on training data. A naíve view of this problem might regard it as being point estimation of a fixed population quantity. In contrast, prediction is the problem of providing a point guess of the realization of a random variable. The reason why prediction is the relevant methodology for the computer experiment application will be discussed in Section 3.2.
KeywordsTrue Surface Fire Source Good Linear Unbiased Predictor Mean Square Prediction Error Regression Predictor
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