02785nam 2200745Ia 450 991082324170332120230105003318.01-383-02981-41-281-34138-X0-19-154670-4(CKB)1000000000534536(EBL)430582(OCoLC)375017663(SSID)ssj0000134951(PQKBManifestationID)11137023(PQKBTitleCode)TC0000134951(PQKBWorkID)10057209(PQKB)10007387(SSID)ssj0000435258(PQKBManifestationID)11268629(PQKBTitleCode)TC0000435258(PQKBWorkID)10421864(PQKB)10848836(Au-PeEL)EBL430582(CaPaEBR)ebr10229918(CaONFJC)MIL134138(PPN)155475665(MiAaPQ)EBC430582(EXLCZ)99100000000053453620060629d2006 uy 0engur|n|---|||||txtccrData analysis[electronic resource] a Bayesian tutorial /D.S. Sivia with J. Skilling2nd ed.Oxford Oxford University Press20061 online resource (259 p.)Oxford science publicationsPrevious ed.: 1996.0-19-856831-2 0-19-856832-0 Includes bibliographical references and index.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; XOne 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 ReviewsOxford science publications.Maximum entropy methodMaximum principles (Mathematics)Engineering mathematicsScienceMathematicsMaximum entropy method.Maximum principles (Mathematics)Engineering mathematics.ScienceMathematics.519.5Sivia D. S535097Skilling J(John)1708374MiAaPQMiAaPQMiAaPQBOOK9910823241703321Data analysis4097317UNINA