# Classification of Computer Models with Labelled Outputs

@article{Kimpton2020ClassificationOC, title={Classification of Computer Models with Labelled Outputs}, author={Louise Kimpton and Peter Challenor and Daniel Williamson}, journal={arXiv: Methodology}, year={2020} }

Classification is a vital tool that is important for modelling many complex numerical models. A model or system may be such that, for certain areas of input space, the output either does not exist, or is not in a quantifiable form. Here, we present a new method for classification where the model outputs are given distinct classifying labels, which we model using a latent Gaussian process (GP). The latent variable is estimated using MCMC sampling, a unique likelihood and distinct prior…

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