Data analysis :: a Bayesian tutorial.
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.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford ; New York :
Oxford University Press,
2006.
|
| Ausgabe: | 2nd ed. / |
| Schriftenreihe: | Oxford science publications.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (xii, 246 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 237-240) and index. |
| ISBN: | 9780191546709 0191546704 9786611341381 6611341382 |
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| 245 | 1 | 0 | |a Data analysis : |b a Bayesian tutorial. |
| 250 | |a 2nd ed. / |b D.S. Sivia with J. Skilling. | ||
| 260 | |a Oxford ; |a New York : |b Oxford University Press, |c 2006. | ||
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| 505 | 0 | |a 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. | |
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| 650 | 2 | |a Multivariate Analysis |0 https://id.nlm.nih.gov/mesh/D015999 | |
| 650 | 6 | |a Analyse multivariée. | |
| 650 | 6 | |a Statistique mathématique. | |
| 650 | 6 | |a Théorie de la décision bayésienne. | |
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| 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. |
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| discipline | Mathematik |
| edition | 2nd ed. / |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn375017663 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:16:46Z |
| institution | BVB |
| isbn | 9780191546709 0191546704 9786611341381 6611341382 |
| language | English |
| oclc_num | 375017663 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xii, 246 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | Oxford University Press, |
| record_format | marc |
| series | Oxford science publications. |
| series2 | Oxford science publications |
| spelling | Sivia, D. S. https://id.oclc.org/worldcat/entity/E39PBJr3kXYvgYYWQQRK9JRdwC http://id.loc.gov/authorities/names/n96015633 Data analysis : a Bayesian tutorial. 2nd ed. / D.S. Sivia with J. Skilling. Oxford ; New York : Oxford University Press, 2006. 1 online resource (xii, 246 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Oxford science publications 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. Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Maximum entropy method. http://id.loc.gov/authorities/subjects/sh91000157 Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Analyse multivariée. Statistique mathématique. Théorie de la décision bayésienne. Méthode d'entropie maximale. MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Multivariate analysis fast Mathematical statistics fast Bayesian statistical decision theory fast Maximum entropy method fast Skilling, J. (John) https://id.oclc.org/worldcat/entity/E39PBJdCrgXy3KCxBkbdpFXw4q http://id.loc.gov/authorities/names/n88192390 has work: Data analysis (Text) https://id.oclc.org/worldcat/entity/E39PCGkDWxCyWQVdqhqQC9wbv3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Sivia, D.S. Data analysis. 2nd ed. Oxford ; New York : Oxford University Press, 2006 9780198568315 0198568312 (DLC) 2006284782 (OCoLC)64097278 Oxford science publications. http://id.loc.gov/authorities/names/n42027424 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=228725 Volltext |
| spellingShingle | Sivia, D. S. Data analysis : a Bayesian tutorial. Oxford science publications. 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. Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Maximum entropy method. http://id.loc.gov/authorities/subjects/sh91000157 Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Analyse multivariée. Statistique mathématique. Théorie de la décision bayésienne. Méthode d'entropie maximale. MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Multivariate analysis fast Mathematical statistics fast Bayesian statistical decision theory fast Maximum entropy method fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85012506 http://id.loc.gov/authorities/subjects/sh91000157 http://id.loc.gov/authorities/subjects/sh85088390 http://id.loc.gov/authorities/subjects/sh85082133 https://id.nlm.nih.gov/mesh/D015999 |
| title | Data analysis : a Bayesian tutorial. |
| title_auth | Data analysis : a Bayesian tutorial. |
| title_exact_search | Data analysis : a Bayesian tutorial. |
| title_full | Data analysis : a Bayesian tutorial. |
| title_fullStr | Data analysis : a Bayesian tutorial. |
| title_full_unstemmed | Data analysis : a Bayesian tutorial. |
| title_short | Data analysis : |
| title_sort | data analysis a bayesian tutorial |
| title_sub | a Bayesian tutorial. |
| topic | Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Maximum entropy method. http://id.loc.gov/authorities/subjects/sh91000157 Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Analyse multivariée. Statistique mathématique. Théorie de la décision bayésienne. Méthode d'entropie maximale. MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Multivariate analysis fast Mathematical statistics fast Bayesian statistical decision theory fast Maximum entropy method fast |
| topic_facet | 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 |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=228725 |
| work_keys_str_mv | AT siviads dataanalysisabayesiantutorial AT skillingj dataanalysisabayesiantutorial |