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Functional Ordinary Kriging is the most widley used method to predict a curve at a given spatial point by computing a weighted average of observed functional values in space. Determining the uncertainty associated with predicted curves remains a challenge. To address this issue we introduce a distribution free prediction method for the proposed model and illustrate its performances using the well known data set of Canadian Temperature [12].

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Conformal Based Uncertainty Bands for Predictions in Functional Ordinary Kriging

  • 会议论文

  • 发表日期：

    2025年

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  • Anna De Magistris,
  • Andrea Diana,
  • Elvira Romano

摘要

Functional Ordinary Kriging is the most widley used method to predict a curve at a given spatial point by computing a weighted average of observed functional values in space. Determining the uncertainty associated with predicted curves remains a challenge. To address this issue we introduce a distribution free prediction method for the proposed model and illustrate its performances using the well known data set of Canadian Temperature [12].