Objective Bayesian inference:
"Bayesian analysis is today understood to be an extremely powerful method of statistical analysis, as well an approach to statistics that is particularly transparent and intuitive. It is thus being extensively and increasingly utilized in virtually every area of science and society that involve...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai ; Tokyo
World Scientific
[2024]
|
| Schlagworte: | |
| Online-Zugang: | DE-91 |
| Zusammenfassung: | "Bayesian analysis is today understood to be an extremely powerful method of statistical analysis, as well an approach to statistics that is particularly transparent and intuitive. It is thus being extensively and increasingly utilized in virtually every area of science and society that involves analysis of data. A widespread misconception is that Bayesian analysis is a more subjective theory of statistical inference than what is now called classical statistics. This is true neither historically nor in practice. Indeed, objective Bayesian analysis dominated the statistical landscape from roughly 1780 to 1930, long before 'classical' statistics or subjective Bayesian analysis were developed. It has been a subject of intense interest to a multitude of statisticians, mathematicians, philosophers, and scientists. The book, while primarily focusing on the latest and most prominent objective Bayesian methodology, does present much of this fascinating history. The book is written for four different audiences. First, it provides an introduction to objective Bayesian inference for non-statisticians; no previous exposure to Bayesian analysis is needed. Second, the book provides an overview of the development and current state of objective Bayesian analysis and its relationship to other statistical approaches, for those with interest in the philosophy of learning from data. Third, the book presents a careful development of the particular objective Bayesian approach that we recommend, the reference prior approach. Finally, the book presents as much practical objective Bayesian methodology as possible for statisticians and scientists primarily interested in practical applications"-- |
| Beschreibung: | 1 Online-Ressource (xv, 364 Seiten) Diagramme |
| ISBN: | 9789811284915 9811284911 9789811284922 981128492X |
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Datensatz im Suchindex
| _version_ | 1817696647485849600 |
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| author | Berger, James O. 1950- Bernardo, José M. |
| author_GND | (DE-588)171531000 (DE-588)1067685790 (DE-588)129793426 |
| author_facet | Berger, James O. 1950- Bernardo, José M. |
| author_role | aut aut |
| author_sort | Berger, James O. 1950- |
| author_variant | j o b jo job j m b jm jmb |
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| bvnumber | BV049860819 |
| classification_tum | MAT 620 |
| collection | ZDB-124-WOP |
| ctrlnum | (OCoLC)1466903303 (DE-599)BVBBV049860819 |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV049860819 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-06T13:10:07Z |
| institution | BVB |
| isbn | 9789811284915 9811284911 9789811284922 981128492X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035200541 |
| oclc_num | 1466903303 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | 1 Online-Ressource (xv, 364 Seiten) Diagramme |
| psigel | ZDB-124-WOP ZDB-124-WOP TUM_Einzelkauf_2024 |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | World Scientific |
| record_format | marc |
| spelling | Berger, James O. 1950- Verfasser (DE-588)171531000 aut Objective Bayesian inference James O. Berger, Jose M. Bernardo, Dongchu Sun New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai ; Tokyo World Scientific [2024] 1 Online-Ressource (xv, 364 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier "Bayesian analysis is today understood to be an extremely powerful method of statistical analysis, as well an approach to statistics that is particularly transparent and intuitive. It is thus being extensively and increasingly utilized in virtually every area of science and society that involves analysis of data. A widespread misconception is that Bayesian analysis is a more subjective theory of statistical inference than what is now called classical statistics. This is true neither historically nor in practice. Indeed, objective Bayesian analysis dominated the statistical landscape from roughly 1780 to 1930, long before 'classical' statistics or subjective Bayesian analysis were developed. It has been a subject of intense interest to a multitude of statisticians, mathematicians, philosophers, and scientists. The book, while primarily focusing on the latest and most prominent objective Bayesian methodology, does present much of this fascinating history. The book is written for four different audiences. First, it provides an introduction to objective Bayesian inference for non-statisticians; no previous exposure to Bayesian analysis is needed. Second, the book provides an overview of the development and current state of objective Bayesian analysis and its relationship to other statistical approaches, for those with interest in the philosophy of learning from data. Third, the book presents a careful development of the particular objective Bayesian approach that we recommend, the reference prior approach. Finally, the book presents as much practical objective Bayesian methodology as possible for statisticians and scientists primarily interested in practical applications"-- Bayesian statistical decision theory Théorie de la décision bayésienne Bernardo, José M. Verfasser (DE-588)1067685790 aut Sun, Dongchu Sonstige (DE-588)129793426 oth Erscheint auch als Berger, James O. Objective Bayesian inference Singapore ; Hackensack, NJ : World Scientific Publishing Co. Pte. Ltd., [2024] Druck-Ausgabe, Hardcover 978-981-12-8490-8 |
| spellingShingle | Berger, James O. 1950- Bernardo, José M. Objective Bayesian inference |
| title | Objective Bayesian inference |
| title_auth | Objective Bayesian inference |
| title_exact_search | Objective Bayesian inference |
| title_full | Objective Bayesian inference James O. Berger, Jose M. Bernardo, Dongchu Sun |
| title_fullStr | Objective Bayesian inference James O. Berger, Jose M. Bernardo, Dongchu Sun |
| title_full_unstemmed | Objective Bayesian inference James O. Berger, Jose M. Bernardo, Dongchu Sun |
| title_short | Objective Bayesian inference |
| title_sort | objective bayesian inference |
| work_keys_str_mv | AT bergerjameso objectivebayesianinference AT bernardojosem objectivebayesianinference AT sundongchu objectivebayesianinference |