In this chapter, we introduce the CUQIpy package and its main features. We provide information on how to run the code notebooks in this book. We also provide a very simple example of solving a Bayesian inverse problem (BIP) using CUQIpy: “Probably the simplest BIP in the world”. This example is presented in two versions: A short version which is right to the point and a long version which explains more details about the code and gives some exercises.
Learning objectives: ¶
By the end of this chapter, you will be able to:
Explain what CUQIpy is and list its main features and modules
Run the code notebooks in this book
Create, solve and analyze bivariate Bayesian inverse problems (BIP) using CUQIpy
Explain the difference between data distribution and likelihood
Explain the role of prior and likelihood
List 2 methods used to characterize the posterior distribution