Scalable Sparse Autoregressive Variational Inference for Non-Gaussian Spatial Fields
arXiv:2610.13656v1 Announce Type: new Abstract: Latent field models are essential for spatial statistics, but the posterior distribution of the latent field, even with a Gaussian process (GP) prior, is analytically intractable whenever the likelihood is non-Gaussian. Existing approximations are eit…
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- 2026-10-12 04:00 · arXiv stat.ML
Scalable Sparse Autoregressive Variational Inference for Non-Gaussian Spatial Fields