Bayesian Inference and Maximum Entropy Methods in Science Engineering
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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.
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Bol Partner
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.
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(1)
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.
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