Description: Bayesian Programming by Pierre Bessiere, Emmanuel Mazer, Juan Ahuactzin, Kamel Mekhnacha Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description To create a complete computing Bayesian framework, a new modeling methodology is needed to build probabilistic models; new inference algorithms are required to automate probabilistic calculus; and new programming languages are sought to implement these models on computers; eventually, new hardware will also be necessary to run these Bayesian programs efficiently. This book describes the current first steps toward the ultimate goal of creating a Bayesian computer. Written by leading researchers, the text focuses on Bayesian programming and requires only basic knowledge of mathematics, making it accessible to non-experts. It presents applications from various areas such as robotics. Publisher Description Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an alternative framework to deal with incomplete and uncertain data. Decision-Making Tools and Methods for Incomplete and Uncertain DataEmphasizing probability as an alternative to Boolean logic, Bayesian Programming covers new methods to build probabilistic programs for real-world applications. Written by the team who designed and implemented an efficient probabilistic inference engine to interpret Bayesian programs, the book offers many Python examples that are also available on a supplementary website together with an interpreter that allows readers to experiment with this new approach to programming.Principles and Modeling Only requiring a basic foundation in mathematics, the first two parts of the book present a new methodology for building subjective probabilistic models. The authors introduce the principles of Bayesian programming and discuss good practices for probabilistic modeling. Numerous simple examples highlight the application of Bayesian modeling in different fields.Formalism and AlgorithmsThe third part synthesizes existing work on Bayesian inference algorithms since an efficient Bayesian inference engine is needed to automate the probabilistic calculus in Bayesian programs. Many bibliographic references are included for readers who would like more details on the formalism of Bayesian programming, the main probabilistic models, general purpose algorithms for Bayesian inference, and learning problems.FAQsAlong with a glossary, the fourth part contains answers to frequently asked questions. The authors compare Bayesian programming and possibility theories, discuss the computational complexity of Bayesian inference, cover the irreducibility of incompleteness, and address the subjectivist versus objectivist epistemology of probability. The First Steps toward a Bayesian ComputerA new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the methodology and algorithms, this book describes the first steps toward reaching that goal. It encourages readers to explore emerging areas, such as bio-inspired computing, and develop new programming languages and hardware architectures. Author Biography Pierre Bessiere is with CNRS, the French National Centre for Scientific Research. Juan-Manuel Ahuactzin, Kamel Mekhnacha, and Emmanuel Mazer are with Probayes Inc., France. Details ISBN 1439880328 ISBN-13 9781439880326 Title Bayesian Programming Author Pierre Bessiere, Emmanuel Mazer, Juan Ahuactzin, Kamel Mekhnacha Format Hardcover Year 2013 Pages 380 Publisher Taylor & Francis Inc GE_Item_ID:139828471; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. 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Price: 153.04 USD
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End Time: 2024-12-06T06:01:07.000Z
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ISBN-13: 9781439880326
Book Title: Bayesian Programming
Number of Pages: 380 Pages
Language: English
Publication Name: Bayesian Programming
Publisher: CRC Press LLC
Publication Year: 2013
Subject: Machine Theory, Probability & Statistics / General, Statistics, Probability & Statistics / Bayesian Analysis, Discrete Mathematics
Item Height: 1 in
Type: Textbook
Item Weight: 24 Oz
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Business & Economics
Author: Pierre Bessiere, Emmanuel Mazer, Kamel Mekhnacha, Juan-Manuel Ahuactzin
Item Width: 6.4 in
Format: Hardcover
