Data analysis : a Bayesian tutorial.
Material type:
TextSeries: Oxford science publicationsPublication details: Oxford ; New York : Oxford University Press, 2006.Edition: 2nd ed. / D.S. Sivia with J. SkillingDescription: 1 online resource (xii, 246 pages) : illustrationsContent type: - text
- computer
- online resource
- 9780191546709
- 0191546704
- 9786611341381
- 6611341382
- Bayesian statistical decision theory
- Maximum entropy method
- Multivariate analysis
- Mathematical statistics
- Multivariate Analysis
- Analyse multivariée
- Statistique mathématique
- Théorie de la décision bayésienne
- Méthode d'entropie maximale
- MATHEMATICS -- Probability & Statistics -- Bayesian Analysis
- Bayesian statistical decision theory
- Maximum entropy method
- 519.5
- QA279.5 .S55 2006eb
- 62-01 | 62F15
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Electronic-Books
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OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Includes bibliographical references (pages 237-240) and index.
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.
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.
Print version record.
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