Data analysis : a Bayesian tutorial.

Mostrar otras versiones (1)

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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sivia, D. S.
Otros Autores: Skilling, J. (John)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford ; New York : Oxford University Press, 2006.
Edición:2nd ed. /
Colección:Oxford science publications.
Temas:
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.
Multivariate analysis
Mathematical statistics
Bayesian statistical decision theory
Maximum entropy method
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

Ejemplares similares