Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration
The episode explores "Distribird," a tool designed to automate Bayesian model calibration. It uses AI agents to search scientific literature, extract data points, and build informative prior distributions from published research. This process is automated, transparent, and runs locally on the hosts' hardware, providing a practical alternative for scientists tired of relying on inaccurate uniform priors.