Bayesian Reasoning In Data Analysis: A Critical Introduction
This book provides a multi-level introduction to Bayesian reasoning (as opposed to “conventional statistics”) and its applications to data analysis. The basic ideas of this “new” approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications...
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| Formato: | Online |
| Idioma: | inglês |
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World Scientific Publishing Company
2026
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| Acesso em linha: | ONIX_20260106T095338_9789812775511_3 |
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| _version_ | 1869529354595205120 |
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| author | D'agostini, Giulio |
| author_browse | D'agostini, Giulio |
| author_facet | D'agostini, Giulio |
| author_sort | D'agostini, Giulio |
| collection | Directory of Open Access Books |
| description | This book provides a multi-level introduction to Bayesian reasoning (as opposed to “conventional statistics”) and its applications to data analysis. The basic ideas of this “new” approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide — under well-defined assumptions! — with “standard” methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework. |
| format | Online |
| id | doab-20.500.12854ir-170798 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | World Scientific Publishing Company |
| publisherStr | World Scientific Publishing Company |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1707982026-01-07T05:20:34Z Bayesian Reasoning In Data Analysis: A Critical Introduction D'agostini, Giulio Mathematics Probability & Statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference This book provides a multi-level introduction to Bayesian reasoning (as opposed to “conventional statistics”) and its applications to data analysis. The basic ideas of this “new” approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide — under well-defined assumptions! — with “standard” methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework. 2026-01-07T05:20:33Z 2026-01-07T05:20:33Z 2026-01-06T08:57:10Z 2003 book ONIX_20260106T095338_9789812775511_3 https://library.oapen.org/handle/20.500.12657/109554 9789812775511 9789812383563 https://directory.doabooks.org/handle/20.500.12854/170798 eng open access image/jpeg Attribution-NonCommercial 4.0 International https://library.oapen.org/bitstream/20.500.12657/109554/1/9789812775511.pdf World Scientific Publishing Company World Scientific 10.1142/5262 10.1142/5262 717c2bee-70cb-4ad9-acf0-903aa40d2096 9789812775511 9789812383563 SCOAP3 for Books World Scientific 352 Singapore open access |
| spellingShingle | Mathematics Probability & Statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference D'agostini, Giulio Bayesian Reasoning In Data Analysis: A Critical Introduction |
| title | Bayesian Reasoning In Data Analysis: A Critical Introduction |
| title_full | Bayesian Reasoning In Data Analysis: A Critical Introduction |
| title_fullStr | Bayesian Reasoning In Data Analysis: A Critical Introduction |
| title_full_unstemmed | Bayesian Reasoning In Data Analysis: A Critical Introduction |
| title_short | Bayesian Reasoning In Data Analysis: A Critical Introduction |
| title_sort | bayesian reasoning in data analysis a critical introduction |
| topic | Mathematics Probability & Statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference |
| topic_facet | Mathematics Probability & Statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference |
| url | ONIX_20260106T095338_9789812775511_3 |
| work_keys_str_mv | AT dagostinigiulio bayesianreasoningindataanalysisacriticalintroduction |