Foundations of probabilistic programming

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 app...

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Detalles Bibliográficos
Otros Autores: Barthe, Gilles, 1967- editor (editor), Katoen, Joost-Pieter, editor, Silva, Alexandra, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cambridge : Cambridge University Press 2021.
Colección:CUP Open Access ebooks.
Materias:
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b43740248*spi
Descripción
Sumario: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.
Descripción Física:1 recurso electrónico (xiv, 568 p.)
Formato:Forma de acceso: World Wide Web.
ISBN:9781108770750