3 papers
stat.AP2026
PyINLA: Fast Bayesian Inference for Latent Gaussian Models in Python
Esmail Abdul Fattah, Elias Krainski, Havard Rue
Bayesian inference often relies on Markov chain Monte Carlo (MCMC) methods, particularly required for non-Gaussian data families. When dealing with complex hierarchical models, the…
stat.ME2025
Spatial Gaussian fields for complex areas with application to marine megafauna conservation
Martina Le-Bert Heyl, Janet van Niekerk, Haavard Rue
Spatial Gaussian fields (SGFs) are widely employed in modeling the distributions of marine megafauna, yet they traditionally rely on assumptions of isotropy and stationarity, condi…
cs.PF2025
GPU-Accelerated Parallel Selected Inversion for Structured Matrices Using sTiles
Esmail Abdul Fattah, Hatem Ltaief, Havard Rue +1
Selected inversion is essential for applications such as Bayesian inference, electronic structure calculations, and inverse covariance estimation, where computing only specific ele…