Chapter 1: Introduction to CUQIpy

Chapter 1: Introduction to CUQIpy#

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

Contents