Call for papers:
Special Issue on "MaxEnt 2017 - The 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering" (ISSN 1099-4300; http://www.mdpi.com/journal/entropy).
The papers of the MaxEnt 2017 Workshop are welcomed, but is not limited to. Papers in the subject of Maximum Entropy and Bayesian Methods are also welcomed.
A short prospectus is given at the volume website: http://www.mdpi.com/journal/entropy/special_issues/maxent17
This special issue will be fully Open Access. More information is available at http://www.mdpi.com/about/openaccess/.
Entropy is an open access journal which maintains a rigorous and fast peer-review system and accepted papers are immediately published online. Because it is an online and open access journal, papers published in Entropy will receive high publicity. It is fully covered by the leading indexing and abstracting services, including Google Scholar, MathSciNet, Scopus and Science Citation Index Expanded (Web of Science). The Impact Factor for Entropy is 1.821 (2016).
The MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering applications. The Special Issue invites contributions on all aspects of probabilistic inference, including novel techniques and applications, and work that sheds new light on the foundations of inference. In previous workshops areas of application have included astronomy and astrophysics, chemistry, communications theory, cosmology, climate studies, earth science, fluid mechanics, genetics, geophysics, machine learning, material science, medical imaging, nanoscience, source separation, thermodynamics (equilibrium and non-equilibrium), particle physics, plasma physics, quantum mechanics, robotics, and social sciences. Bayesian computational techniques such as Markov chain Monte Carlo sampling have been regular topics, as are approximate inferential methods. Foundational issues involving probability theory and information theory, and the novel application of inference to illuminate the foundations of physical theories, have also been of keen interest.
The special issue is in honor of Prof. Julio Stern. He have been working with Maximum Entropy and Bayesian methods and has encouraged many people to work in this subject. His contributions are important to the MaxEnt scientific group, as well as for the Brazilian scientific society.
The official deadline for submission is 30 Nov 2017. However, you may send your manuscript at any time before the deadline. We can organize a very fast peer-review, if accepted, the paper will be published immediately.
The special issue editors:
Prof. Dr. Adriano Polpo
Prof. Dr. Carlos Alberto de Bragança Pereira
Guest Editors
Prof. Dr. Marcio Alves Diniz
Prof. Dr. Rafael Bassi Stern
Assistant Guest Editors
Please do not hesitate to contact us if you have any further questions.
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