Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Beschreibung

MaxEnt workshops are devoted to Bayesian inference and Maximum Entropy methods in sciences and engineering. This year's meeting was also encompassed all aspects of probabilistic inference such as foundations, techniques, algorithms and applications. As usual, we had tutorials, invited speakers, oral and poster presentations on the following subjects: Information theory, Probability theory, Quantum systems, Source separation, Information geometry, Bayesian networks, Parametric and Nonparametric Bayesian Data and Image processing, Bayesian computation, Entropy computation of Markovian and Semi-markovian process.

Autor*in

Ali Mohammad-Djafari

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

Bayesian networks Nonparametric Bayesian Data Processing Quantum systems Semi-markovian process Source separation

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

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