Data Analysis: A Bayesian Tutorial, 2/e (Paperback)

Devinderjit Sivia, John Skilling

  • 出版商: Oxford University Press
  • 出版日期: 2006-07-27
  • 售價: $980
  • 貴賓價: 9.5$931
  • 語言: 英文
  • 頁數: 264
  • 裝訂: Paperback
  • ISBN: 0198568320
  • ISBN-13: 9780198568322
  • 相關分類: 機率統計學

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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.

 

 

Table of Contents

1. The Basics , Sivia
2. Parameter Estimation I , Sivia
3. Parameter Estimation II , Sivia
4. Model Selection , Sivia
5. Assigning Probabilities , Sivia
6. Non-parametric Estimation , Sivia
7. Experimental Design , Sivia
8. Least-Squares Extensions , Sivia
9. Nested Sampling , Skilling
10. Quantification , Skilling
Appendices
Bibliography