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An advantage of MOGPR is its provision of uncertainty intervals. So far, these uncertainties have not been fully exploited. It could be explored to implement a quality flag (QF) based on these uncertainty estimates, e.g., when exceeding a given threshold. Such QF can then be used as a mask so that only reconstructed values are provided that fall within a given uncertainty interval.
The text was updated successfully, but these errors were encountered:
An advantage of MOGPR is its provision of uncertainty intervals. So far, these uncertainties have not been fully exploited. It could be explored to implement a quality flag (QF) based on these uncertainty estimates, e.g., when exceeding a given threshold. Such QF can then be used as a mask so that only reconstructed values are provided that fall within a given uncertainty interval.
The text was updated successfully, but these errors were encountered: