Bayesian Inference and Maximum Entropy Methods in Scienec and Engineering

Beschreibung

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.

Autor*in

Paul M. Goggans

Themen in »Bayesian Inference and Maximum Entropy Methods in Scienec and Engineering«

Bayesian computation application of quantum mechanics computation methods mechanics of engineering physics in medicine quantum mechanics theory of probability and information

Stimmen zu »Bayesian Inference and Maximum Entropy Methods in Scienec and Engineering«

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