Beyond Likelihoods: Bayesian Parameter Inference for Black-Box Simulators with sbi
1.5-hour hands-on tutorial at EuroSciPy 2025 teaching scientists and engineers how to use simulation-based inference for Bayesian parameter estimation in complex simulators, with full uncertainty quantification.
A 1.5-hour intermediate-level tutorial walking through the end-to-end SBI workflow: defining parameter ranges and a-priori checks, running NPE/NLE/NRE-style methods, a-posteriori validation, and interpreting results. Examples drawn from epidemiology, neuroscience, particle physics, and engineering.
- Materials: janfb/euroscipy-2025-sbi-tutorial
- Conference page: EuroSciPy 2025 tutorial
- Companion paper: SBI Practical Guide (arXiv 2508.12939)