Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration
3.60T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.11210.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryDistribird is an agentic web application that automates construction of informative prior distributions for Bayesian model calibration. A multi-agent pipeline searches scientific literature, extracts and weights reported parameter values, and fits a distribution via AIC model selection, with local LLM execution and per-prior source tracing. Evaluated on 24 parameters across 10 domains.
Why it mattersConcrete multi-agent tool addressing a real bottleneck in scientific calibration, with measured evaluation across 24 parameters and 10 domains.
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