Bayesian Inference and Maximum Entropy Methods in Science and Engineering:

Beschreibung

For over 30 years, the MaxEnt workshops have explored Bayesian and Maximum Entropymethods in scientific, engineering, and signal processing applications. This proceedings volume covers all aspects of probabilistic inference such as Techniques, Applications, and Foundations. Applications include Physics, Space Science, Earth Science, Biology, Imaging, Graphical Models and Source Separation.

Autor*in

Philip Goyal

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

Bayesian Inference Biology Earth Science Entropy Graphical Models Image Processing Imaging Inverse Problems Markov Chain Monte Carlo Physics Probability Theory Quantum Theory Signal Processing Source Separation Space Science

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

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