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DATA ANALYSIS:BAYESIAN TUTORIAL 2E PAPER: A Bayesian Tutorial 2nd Edition
Author(s): Devinderjit SIVIA (Author)
- Publisher: Oxford University Press
- Publication Date: 1 Jun. 2006
- Edition: 2nd
- Language: English
- Print length: 246 pages
- ISBN-10: 0198568320
- ISBN-13: 9780198568322
Book Description
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’.
