Data Analysis: A Bayesian Tutorial

Devinderjit Sivia/ John Skilling

ISBN 10: 0198568320 / ISBN 13: 9780198568322

Editore: Oxford Univ Pr, 2006

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2nd edition. 246 pages. 9.00x6.00x1.00 inches. In Stock. Codice articolo __0198568320

Dati bibliografici

Titolo: Data Analysis: A Bayesian Tutorial

Casa editrice: Oxford Univ Pr

Data di pubblicazione: 2006

Legatura: Paperback

Condizione: Brand New

Edizione: seconda edizione

Descrizione articolo

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'.

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)