Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration

Automating evidence-based Bayesian calibration with local agentic pipelines

Bayesian calibration of process-based models requires a prior distribution for each model parameter. Despite decades of methodological work, researchers almost always fall back on uniform priors. The main reason is that building informative priors from scientific literature is sl...

ArXiv CS.AI2026-08-13