Volume 1757: Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Volume 1757: Bayesian Inference and Maximum Entropy Methods in Science and Engineering

35th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Edited by Adom Giffin and Kevin H. Knuth

Number of Volumes: 1
ISBN: 9780735414150

Volume 1757 is the proceedings of 35th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (19–24 July 2015, Potsdam, NY, USA)

Title information

Summary of this volume: For 35 years the MaxEnt workshops have explored the use of Bayesian and maximum entropy methods in scientific and engineering applications. All aspects of probabilistic inference, such as techniques, applications, and foundations, are of interest. With the rapid growth of computing power, computational techniques such as Markov chain Monte Carlo sampling are of great relevance, as are approximate inferential methods. Application areas include, but are not limited to, astronomy and astrophysics, genetics, geophysics, medical imaging, material science, nanoscience, source separation, particle physics, quantum mechanics, plasma physics, chemistry, earth science, climate studies, engineering, and robotics. Foundational issues involving probability theory and information theory, and inference and inquiry, are also of keen interest as there are yet many open questions.

These proceedings will be of interest to: Astronomy and astrophysics, genetics, geophysics, medical imaging, material science, nanoscience, source separation, particle physics, quantum mechanics, plasma physics, chemistry, earth science, climate studies, engineering, and robotics graduate students, Ph.D./postdocs, etc.

For further information about this volume: Please view the table of contents available on AIP Publishing's Scitation platform: Volume 1757 table of contents.

Number of Volumes: 1
Pages: 224
Language: English
Publisher: AIP Publishing