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Preprint Aug 2026

Scalable Heteroskedastic Gaussian Process Models for Large Inhomogeneous Datasets

We introduce Heteroskedastic Normalized Vecchia Gaussian Processes (HetNV), a scalable framework for Gaussian process regression with input-dependent observation noise. HetNV combines Vecchia likelihood approximations on normalized inputs with residual-based nonparametric variance estimation. The latent mean is estimat...

K. Potter, K. Moran, R. Ulrich et al. · 1 citation

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