Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration: 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 slow and needs both domain and statistical expertise. We present \textbf{Distri...
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Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration: 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 slow and needs both domain and statistical expertise. We present \textbf{Distri...