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Foundations of probabilistic programming

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What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate students and non-experts in the field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that software leaks confidential information?), and presents three programming languages for different applications: Excel tables, program testing, and approximate computing. This title is also available as Open Access on Cambridge Core.

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Detail Information

Series Title

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Call Number

001.642 FOU f

Publisher

New York : Cambridge University Press., 2020

Collation

xiv, 568p. : ill.

Language

English

ISBN/ISSN

9781108770750

Classification

001.642

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Computer programming.
Probabilities -- Data processing.

Specific Detail Info

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Statement of Responsibility

edited by Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva

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