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stat.ME2026
Positive, monotone, and convex Gaussian process regression with Laplacian eigenfunctions
Andreas Kryger Jensen
We study how to condition an existing Hilbert space Gaussian process (HSGP) expansion on positivity, monotonicity, or convexity throughout an interval. The expansion has Gaussian c…
stat.ME2026
Gaussian Process Differential Ensembles for Joint Inference on Curves, Derivatives, and Integrals
Andreas Kryger Jensen, Adam Gorm Hoffmann
Functional data are often modeled through one likelihood-linked curve, while the scientific target is a larger state containing rates, accumulated quantities, boundary values, or n…