BayesFlow Validation & Calibration

This skill provides a comprehensive framework for validating BayesFlow models through Simulation-Based Calibration (SBC) and diagnostic checking. It enables users to perform thorough coverage analysis across complex design spaces using factorial condition grids, implement automated quality gates with threshold-based checks, and generate diagnostic dashboards. By automating the generation and caching of multi-condition validation datasets and calculating specialized metrics like C2ST and calibration floor estimates, it ensures that neural Bayesian inference models are robust, well-calibrated, and scientifically reliable.

Key Features

Use Cases