GaussianMarkovRandomFields.jl

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Authors: Tim Weiland
Cited by: 0

Abstract

A Julia package for flexible and efficient Bayesian inference with Gaussian Markov random fields, including SPDE-based approximations to Gaussian process priors, composable latent and observation models, and sparse automatic differentiation.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 August 2026