**The Design and Implementation of Probabilistic Programming Languages**

by Noah D. Goodman, Andreas Stuhlmüller

**Publisher**: dippl.org 2016**Number of pages**: 215

**Description**:

This book explains how to implement PPLs by lightweight embedding into a host language. We illustrate this by designing and implementing WebPPL, a small PPL embedded in Javascript. We show how to implement several algorithms for universal probabilistic inference, including priority-based enumeration with caching, particle filtering, and Markov chain Monte Carlo.

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