About this book
This book takes a foundational approach to the semantics of probabilistic programming. It elaborates a rigorous Markov chain semantics for the probabilistic typed lambda calculus, which is the typed lambda calculus with recursion plus probabilistic choice.
The book starts with a recapitulation of the basic mathematical tools needed throughout the book, in particular Markov chains, graph theory and domain theory, and also explores the topic of inductive definitions. It then defines the syntax and establishes the Markov chain semantics of the probabilistic lambda calculus and, furthermore, both a graph and a tree semantics. Based on that, it investigates the termination behavior of probabilistic programs. It introduces the notions of termination degree, bounded termination and path stoppability and investigates their mutual relationships. Lastly, it defines a denotational semantics of the probabilistic lambda calculus, based on continuous functions over probability distributions as domains.
The work mostly appeals to researchers in theoretical computer science focusing on probabilistic programming, randomized algorithms, or programming language theory.
- Book Title Semantics of the Probabilistic Typed Lambda Calculus
- Book Subtitle Markov Chain Semantics, Termination Behavior, and Denotational Semantics
- DOI https://doi.org/10.1007/978-3-642-55198-7
- Copyright Information Springer-Verlag Berlin Heidelberg 2017
- Publisher Name Springer, Berlin, Heidelberg
- eBook Packages Computer Science Computer Science (R0)
- Hardcover ISBN 978-3-642-55197-0
- Softcover ISBN 978-3-662-56872-9
- eBook ISBN 978-3-642-55198-7
- Edition Number 1
- Number of Pages VIII, 218
- Number of Illustrations 6 b/w illustrations, 0 illustrations in colour
Theory of Computation
Programming Languages, Compilers, Interpreters
Probability and Statistics in Computer Science
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