2 papers
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…
math.NA2025
Uncertainty quantification for electrical impedance tomography using quasi-Monte Carlo methods
Laura Bazahica, Vesa Kaarnioja, Lassi Roininen
The theoretical development of quasi-Monte Carlo (QMC) methods for uncertainty quantification of partial differential equations (PDEs) is typically centered around simplified model…