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  • Examples
  • API Reference
  • About Us
  • Contributing
  • Developer Docs
  • GitHub
  • Discourse Forum

Section Navigation

  • 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
  • Examples

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

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1. Bayesian Linear Regression Starter

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