000			02075nam a2200361 i 4500
001			CR9781108770750
003			UkCbUP
005			20240508141513.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			190321s2021||||enk o ||1 0|eng|d
020			_a9781108770750 (ebook)
020			_z9781108488518 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050		4	_aQA76.6 _b.F69 2021
082	0	4	_a001.642 _223
245	0	0	_aFoundations of probabilistic programming / _cedited by Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva.
264		1	_aCambridge : _bCambridge University Press, _c2021.
300			_a1 online resource (xiv, 568 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 20 Nov 2020).
506			_aOpen Access title.
520			_aWhat 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.
650		0	_aComputer programming.
650		0	_aProbabilities _xData processing.
700	1		_aBarthe, Gilles, _d1967- _eeditor.
700	1		_aKatoen, Joost-Pieter, _eeditor.
700	1		_aSilva, Alexandra, _eeditor.
776	0	8	_iPrint version: _z9781108488518
856	4	0	_uhttps://doi.org/10.1017/9781108770750
999			_c38467 _d38467