Data Analysis: A Bayesian Tutorial [Lingua inglese] - Brossura

Sivia, Devinderjit; Skilling, John

Brossura

ISBN 10: 0198568320 ISBN 13: 9780198568322

Casa editrice: OUP Oxford, 2006

Riassunto

Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.

This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimental design.

The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'.

Su questo libro

Recensione:

One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. (Katie St. Clair MAA Reviews)

L'autore:

Devinderjit Singh Sivia Rutherford Appleton Laboratory Chilton Oxon OX11 5DJ John Skilling Maximum Entropy Data Consultants 42 Southgate Street Bury St Edmonds Suffolk IP33 2AZ

Su questa edizione

• Editore: OUP Oxford
• Data di pubblicazione: 2006
• ISBN 10: 0198568320
• ISBN 13: 9780198568322
• Rilegatura: Copertina flessibile
• Numero edizione: 2
• Numero di pagine: 264