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stat.ME2026
Efficient Amortized Bayesian Inference for Markov Random Fields via Gradient-Informed Grid Selection
Laura Bazahica, Alejandra Avalos-Pacheco, Matthew Moores +1
Bayesian inference for models with intractable likelihoods, such as Markov random fields, poses a fundamental computational challenge due to the tradeoff between inferential accura…
stat.ME2026★ 1 cited
Annealed Leap-Point Sampler for Multimodal Target Distributions
Nicholas G. Tawn, Matthew T. Moores, Hugo Queniat +1
In Bayesian statistics, exploring high-dimensional multimodal posterior distributions poses major challenges for existing MCMC approaches. This paper introduces the Annealed Leap-P…