Bayesian parameter estimation of chaotic systems using the ABC-SMC algorithm with GP acceleration.

Dependencies

scikit-learn and GPy (optional if you want to use gradient matching)

pip install -U scikit-learn

pip install GPy

See the demo with a Lorenz attractor or Rössler attractor, Jupyter notebook

If you want to play around with the ABC-SMC then see the: testabc.py file.

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