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

3. Examples using open data

   • Analysing the first Binary Black hole detection, GW150914

4. Notebook-style tutorials

   • Comparing different samplers

   • Visualising the output