Author

Andrew Zammit-Mangion

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Preprint Oct 2026

Divide-and-Conquer Neural Bayes Estimation for Spatial and Spatiotemporal Point Process Models

A divide-and-conquer neural Bayes estimation framework for spatial and spatiotemporal point process models that operates directly on raw point pattern realizations using transformer-based architectures on partitions of the spatiotemporal domain, together with an attention mechanism to optimally combine locally extracte...

Bokgyeong Kang, Andrew Zammit-Mangion, E. Schliep et al. · 0 citations

Preprint Oct 2026

Spatial Prediction with Guided Diffusion

Spatial prediction is a critically important task in data analyses that involve spatially or spatio-temporally-referenced data. It is commonly carried out using hierarchical models, which comprise a process model describing the latent process of interest, and a data model describing how the process is observed. The tar...

Andrew Zammit-Mangion, L. Astfalck, Raphael Huser et al. · 0 citations