Maximum Entropy and Bayesian Methods : Cambridge, England, 1988

Unbekannt

ISBN 10: 0792302249 / ISBN 13: 9780792302247

Edité par Springer Netherlands, 1989

A propos de cet article

Zustand: Sehr gut | Seiten: 548 | Sprache: Englisch | Produktart: Bücher.

N° de réf. du vendeur 2205448/202

Détails bibliographiques

• Titre: Maximum Entropy and Bayesian Methods : Cambridge, England, 1988
• Éditeur: Springer Netherlands
• Date de parution: 1989
• Langue: anglais
• ISBN à 10 chiffres: 0792302249
• ISBN à 13 chiffres: 9780792302247
• Reliure: Couverture rigide
• État de l'article: Sehr gut
• Catalogues du vendeur:
  • Bücher

A propos de ce titre

Synopsis

Methods of reasoning lying at the heart of rational scientific inference are explored and applied in some 55 papers by contributors from industry, defense establishments, and academia, brought together under the sponsorship of the US Navy and several European and American chemical corporations. The

Présentation de l'éditeur

This volume records the proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods, held in Cambridge, England from August 1-5, 1994. Throughout applied science, Bayesian inference is giving high quality results augmented with reliabilities in the form of probability values and probabilistic error bars. Maximum Entropy, with its emphasis on optimally selected results, is an important part of this. Across wide areas of spectroscopy and imagery, it is now realistic to generate clear results with quantified reliability. This power is underpinned with a foundation of solid mathematics. The annual Maximum Entropy Workshops have become the principal focus of developments in the field, and which capture the imaginative research that defines the state of the art in the subject. The breadth of application is seen in the thirty-three papers reproduced here, which are classified into subsections on Basics, Applications, Physics and Neural Networks. Audience: This volume will be of interest to graduate students and researchers whose work involves probability theory, neural networks, spectroscopic methods, statistical thermodynamics and image processing.