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Gaussian Process Regression for Scalar and Functional Inputs with funGp - The in-depth tour

Abstract : This is a comprehensive guide to creating and manipulating Gaussian process regression models using the R package funGp. It illustrates through examples, the usage of every function in the package and each example is accompanied by a code snippet to shorten the learning curve through direct usage of the functions.
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https://hal.archives-ouvertes.fr/hal-02536624
Contributor : José Betancourt Connect in order to contact the contributor
Submitted on : Wednesday, April 8, 2020 - 11:47:36 AM
Last modification on : Tuesday, April 5, 2022 - 3:40:32 AM

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funGp R package_user manual_JB...
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  • HAL Id : hal-02536624, version 1

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José Betancourt, François Bachoc, Thierry Klein. Gaussian Process Regression for Scalar and Functional Inputs with funGp - The in-depth tour. 2020. ⟨hal-02536624⟩

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