Corpus ID: 18162522

Gaussian Process Regression with Location Errors

@article{Cervone2015GaussianPR,
  title={Gaussian Process Regression with Location Errors},
  author={D. Cervone and N. Pillai},
  journal={arXiv: Methodology},
  year={2015}
}
  • D. Cervone, N. Pillai
  • Published 2015
  • Mathematics
  • arXiv: Methodology
  • In this paper, we investigate Gaussian process regression models where inputs are subject to measurement error. In spatial statistics, input measurement errors occur when the geographical locations of observed data are not known exactly. Such sources of error are not special cases of "nugget" or microscale variation, and require alternative methods for both interpolation and parameter estimation. Gaussian process models do not straightforwardly extend to incorporate input measurement error, and… CONTINUE READING
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