Examples

1. General inference examples:

• A simple Gaussian likelihood: a good example to see how to write your own likelihood.

• Linear regression for unknown noise: fitting to general time-domain data.

2. Examples of injecting and recovering data:

• 4-parameter CBC tutorial

• 15-parameter CBC tutorial

• Create your own source model

• Create your own time-domain source model

• How to specify the prior

• Using a partially marginalized likelihood

• Injecting and recovering a neutron-star equation of state

3. Examples using open data:

• Analysing the first Binary Black hole detection, GW150914

4. Notebook-style tutorials:

• Comparing different samplers

• Visualising the output