Bayesian Inference and Maximum Entropy Methods in Science and Engineering

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All papers were peer reviewed. Bayesian Inference and Maximum Entropy Methods in Science and Engineering provide a framework for analyzing ill-conditioned data. Maximum Entropy is a theoretical method to draw conclusions when little information is available. Bayesian probability theory provides a formalism for scientific reasoning by analyzing noisy or imcomplete data using prior knowledge.

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Rainer Fischer

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

Inference melthods approximations complex systems inductive logic theory maximum entropy probability signal separation/Restoration tomography and imaging

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