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Data analysis : a Bayesian tutorial / D.S. Sivia with J. Skilling.
- Format:
- Book
- Author/Creator:
- Sivia, D. S., author.
- Skilling, J. (John), author.
- Series:
- Oxford scholarship online.
- Oxford scholarship online
- Language:
- English
- Subjects (All):
- Maximum entropy method.
- Maximum principles (Mathematics).
- Engineering mathematics.
- Science--Mathematics.
- Science.
- Physical Description:
- 1 online resource (259 p.)
- Edition:
- 2nd ed.
- Place of Publication:
- Oxford : Oxford University Press, 2023.
- Language Note:
- English
- Summary:
- Focusing on Bayesian methods and maximum entropy, this book shows how a few fundamental rules can be used to tackle a variety of problems in data analysis. Topics covered include reliability analysis, multivariate optimisation, least-squares and maximum likelihood, and more.
- Contents:
- Contents; PART I: THE ESSENTIALS; 1. The basics; 2. Parameter estimation I; 3. Parameter estimation II; 4. Model selection; 5. Assigning probabilities; PART II: ADVANCED TOPICS; 6. Non-parametric estimation; 7. Experimental design; 8. Least-squares extensions; 9. Nested sampling; 10. Quantification; A. Gaussian integrals; B. Cox's derivation of probability; Bibliography; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; X
- Notes:
- Previous edition: 1996.
- Formerly CIP.
- Previously issued in print: 2006.
- Includes bibliographical references and index.
- Derived record based on print version record and publisher information.
- ISBN:
- 1-383-02981-4
- 1-281-34138-X
- 0-19-154670-4
- OCLC:
- 375017663
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