Practical Probabilistic Programming

Chapter 6. Using Scala and Figaro collections to build up models

This chapter covers

• How to use collections to organize probabilistic models
• The difference between Scala collections and Figaro collections, the roles of each, and how to use them together
• Common modeling patterns that can be expressed using collections, including hierarchical Bayesian modeling, modeling situations with an unknown number of objects, and models defined over a continuous region

In the preceding two chapters, you’ve gained a solid foundation in probabilistic modeling. This chapter focuses on the programming aspect of probabilistic programming and shows you ways that the features of a programming language can help you build probabilistic models. In particular, ...