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[null,"1.","Record Nr.",null,"UNINA9910782297603321"]
[null,null,"Autore",null,"Sivia D. S"]
[null,null,"Titolo",null,"Data analysis [[electronic resource] ] : a Bayesian tutorial / / D.S. Sivia with J. Skilling"]
[null,null,"Pubbl/distr/stampa",null,"Oxford, : Oxford University Press, 2006"]
[null,null,"ISBN",null,"1-383-02981-4"]
[{"$nulls":4},"1-281-34138-X"]
[{"$nulls":4},"0-19-154670-4"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (259 p.)"]
[null,null,"Collana",null,"Oxford science publications"]
[null,null,"Disciplina",null,"519.5"]
[null,null,"Soggetti",null,"Maximum entropy method"]
[{"$nulls":4},"Maximum principles (Mathematics)"]
[{"$nulls":4},"Engineering mathematics"]
[{"$nulls":4},"Science - Mathematics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Previous ed.: 1996."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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"]
[null,null,null,"Sommario/riassunto","One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. - Katie St. Clair MAA Reviews"]