most citedComputationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs

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stat.ME2024★ 1 cited

Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs

Adam Gorm Hoffmann, Claus Thorn Ekstrøm, Andreas Kryger Jensen

Gaussian process regression is a frequently used statistical method for flexible yet fully probabilistic non-linear regression modeling. A common obstacle is its computational comp…