Notebook tutorials

The tutorials below walk you through most of the functionality of the package.

Note

These tutorials are also available as ipython/jupyter notebooks: Once you have installed the package, go to sub-folder docs/source/notebooks and open them with jupyter or ipython to interact with the recorded sessions.

• Basic tutorial
• Advanced Tutorial (geared toward state-space models)
• Bayesian inference for state-space models
• SMC samplers
• Manual definition of Feynman-Kac models
• Defining “complicated” state-space models
• Variance estimators