Maximum Entropy and Bayesian Methods

Mohammad-Djafari, Ali; Demoment, G. (EDT)

ISBN 10: 9048142725 / ISBN 13: 9789048142729

Edité par Springer, 2010

A propos de cet article

N° de réf. du vendeur 11866337-n

Détails bibliographiques

• Titre: Maximum Entropy and Bayesian Methods
• Éditeur: Springer
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 9048142725
• ISBN à 13 chiffres: 9789048142729
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

The Twelfth International Workshop on Maximum Entropy and Bayesian Methods in Sciences and Engineering (MaxEnt 92) was held in Paris, France, at the Centre National de la Recherche Scientifique (CNRS), July 19-24, 1992. It is important to note that, since its creation in 1980 by some of the researchers of the physics department at the Wyoming University in Laramie, this was the second time that it took place in Europe, the first time was in 1988 in Cambridge. The two specificities of MaxEnt workshops are their spontaneous and informal charac- ters which give the participants the possibility to discuss easily and to make very fruitful scientific and friendship relations among each others. This year's organizers had fixed two main objectives: i) to have more participants from the European countries, and ii) to give special interest to maximum entropy and Bayesian methods in signal and image processing. We are happy to see that we achieved these objectives: i) we had about 100 participants with more than 50 per cent from the European coun- tries, ii) we received many papers in the signal and image processing subjects and we could dedicate a full day of the workshop to the image modelling, restoration and recon- struction problems.

Présentation de l'éditeur

This volume contains most of the papers presented at the Twelfth International Workshop on Maximum Entropy and Bayesian Methods held in Paris, July 1992. As was the case with the eleven previous annual workshops (the first was held in 1980) this twelfth workshop brought together leading scientists and 'newcomers' involved in research activities in diverse scientific disciplines in which the theory and applications of maximum entropy and Bayesian statistics plays a significant and fruitful role. The contributions are presented in six sections: Bayesian Inference and Maximum Entropy (18 papers); Quantum Physics and Quantum Information (9 papers); Time Series (3 papers); Inverse Problems (4 papers); Applications (11 papers); Image Restoration and Reconstruction (9 papers). The rich diversity of the papers presented, and the status of many of the contributors, attest to the growing importance and vigour of this major topic to many areas of applied science and engineering. This volume will be of interest to a wide range of researchers whose work involves the theory and applications of maximum entropy and Bayesian statistics.