ИСТИНА

• Охват: Международная
• Даты проведения: 2007
• Место проведения: Saratoga Springs, NY, USA
• Описание конференции:

  50 Years of Maximum Entropy and Inference in Physics. This workshop highlights the 50th anniversary of Ed Jaynes’ 1957 paper “Information Theory and Statistical Mechanics” published in The Physical Review. This work introduces the Maximum Entropy Principle, which casts statistical mechanics as a theory of inference rather than a physical theory. Fifty years after this important work, we find ourselves at these workshops applying these concepts to a wide array of problems ranging from astronomy to economics; from medical imaging to quantum mechanics. However, this paradigm shift of looking at a physical theory as a theory of inference is not yet fully appreciated by the physics community. In addition, the knowledge about statistical inference, which has been gained in over 100 years of statistical mechanics, is not yet fully available to the statistics community at large. Scope For over 25 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 interest, 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.

• Добавил в систему: Дамбис Андрей Карлович

Доклады:

• 2007 Bayesian Analysis of RR Lyrae Luminosities and Kinematics
• Авторы: Jefferys T.R., Barnes T.G., Дамбис А.К., Jefferys W.H.