Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Like all previous MaxEnt Workshops, this meeting encompassed all aspects of probabilistic inference including foundations, computational methods, and applications. The topics represented included probability theory and information theory, decision theory, Bayesian computation, model comparison, quantum mechanics, and applications in engineering, physics, and medicine.
Download Bayesian Inference and Maximum Entropy Methods in Science and Engineering (9780735407299).pdf, available at changetakesfaith.org for free.
- Paul M. Goggans, Chun-Yong Chan
- Hardback | 452 pages
- 162 x 234 x 27.94mm | 739.36g
- Publication date
- 01 Jan 2010
- American Institute of Physics
- Publication City/Country
- New York, United States
- Edition Statement
- 2009 ed.