Examples

This page contains tutorial notebooks for BayesFlow, ranging from toy models to more complex applied modeling scenarios. The corresponding Jupyter Notebooks are available here.

• 1. Bayesian Linear Regression Starter
• 2. Moving from BayesFlow v1.1 to v2.0
• 3. Two Moons: Tackling Bimodal Posteriors
• 4. Posterior Estimation for SIR-like Models
• 5. Bayesian Experimental Design (BED) with BayesFlow and PyTorch
• 6. From ABC to BayesFlow
• 7. Simple Model Comparison - One Sample T-Test
• 8. Rapid Iteration with Point Estimation - Lotka-Volterra Dynamics