Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

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.
Complete list of metadatas

Cited literature [18 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02536624
Contributor : José Betancourt <>
Submitted on : Wednesday, April 8, 2020 - 11:47:36 AM
Last modification on : Tuesday, October 20, 2020 - 10:32:07 AM

File

funGp R package_user manual_JB...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02536624, version 1

Citation

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

Share

Metrics

Record views

130

Files downloads

102