Bayesian Programming

Summary

A 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 emphasizes probability as an alternative to Boolean logic, covering new m

Product details

• Authors: Juan Ahuactzin, Pierre Bessiere, Pierre Mazer Bessiere, Bessiere Pierre, Emmanuel Mazer, Mazer Emmanuel, Kamel Mekhnacha, Mekhnacha Kamel
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 21.01.2023
• EAN: 9781032477404
• ISBN: 978-1-0-3247740-4
• No. of pages: 384
• Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; BUSINESS & ECONOMICS / Statistics, MATHEMATICS / Probability & Statistics / General, COMPUTERS / Machine Theory, Probability & statistics, Mathematical & statistical software, Automatic control engineering, Probability and statistics, Mathematical and statistical software