Maximum Entropy and Bayesian Methods in Applied Statistics

Name: Maximum Entropy and Bayesian Methods in Applied Statistics
Brand: Cambridge University Press
SKU: 9780521096034
Price: 287.79 RON
Availability: InStock

Proceedings of the Fourth Maximum Entropy Workshop University of Calgary, 1984

Autor: James H. Justice

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Editura: Cambridge University Press

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This collection of papers by leading researchers in their respective fields contains contributions s...

Informații despre carte

Autor

James H. Justice

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2009

Pagini

332

EAN

9780521096034

ISBN

0521096030

Enbook ID

02021145

Editura

Cambridge University Press

Greutate

546

Dimensiuni

172 x 244 x 17

Descriere completă

This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. The problem of choosing one among the many possible conclusions or models which are compatible with the data may be resolved in a variety of ways. A particularly appealing method is to choose the solution which maximizes entropy in the sense that the conclusion or model honours the observed data but implies no further assumptions not warranted by the data. The maximum entropy principle has been growing in importance and acceptance in many fields, perhaps most notably statistical physics, astronomy, geophysics, signal processing, image analysis and physical chemistry. The papers included in this volume touch on most of the current areas of research activity and application, and will be of interest to research workers in all fields in which the maximum entropy method may be applied.

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Maximum Entropy and Bayesian Methods in Applied Statistics

Proceedings of the Fourth Maximum Entropy Workshop University of Calgary, 1984

Informații despre carte

Descriere completă

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