Predicting on Circular Domains with Gaussian Processes O. Roustant, Joint Work with E. Padonou

    Abstract

    This research was motivated by two industrial problems in microelectronics and environment, where one has to reconstruct a spatial variable on a disk from a few number of experiments. In this context Gaussian process (GP) regression, or Kriging, is often used, sometimes coupled with Zernike polynomials which are orthogonal polynomials on the disk. However… (More)

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