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Abstract: Continuous-time Gaussian processes make it possible to model irregularly sampled time series. The prediction of future values is a problem of extrapolation, which can in this context be addressed with the tools of Kriging. The issue considered here is the choice of the covariance to be used by the Kriging predictor. Positive linear combinations of elementary covariances are employed in order to improve modelling and predictive performance in complex cases where a simple classical covaraiance is ... (Update)
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BibTeX entry: (Update)
@misc{ irrgulirement-choix,
author = "Chronologiques Chantillonnes Irrgulirement",
title = "Choix D'une Covariance Pour La Prdiction Par Krigeage De Sries",
url = "citeseer.ist.psu.edu/732502.html" }
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Estimating derivatives and integrals with Kriging - Emmanuel Vazquez Department (Correct)
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