Consistency of the mean and the principal components of spatially distributed functional data

This paper develops a framework for the estimation of the functionalmean and the functional principal componentswhen the functions form a random field.We establish conditions for the sample average (in space) to be a consistent estimator of the population mean function, and for the usual empirical covariance operator to be a consistent estimator of the population covariance operator.

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