Maximum Entropy and Bayesian Methods: Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1996
|
| Schriftenreihe: | Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application
70 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | This volume records papers given at the fourteenth international maximum entropy conference, held at St John's College Cambridge, England. It seems hard to believe that just thirteen years have passed since the first in the series, held at the University of Wyoming in 1981, and six years have passed since the meeting last took place here in Cambridge. So much has happened. There are two major themes at these meetings, inference and physics. The inference work uses the confluence of Bayesian and maximum entropy ideas to develop and explore a wide range of scientific applications, mostly concerning data analysis in one form or another. The physics work uses maximum entropy ideas to explore the thermodynamic world of macroscopic phenomena. Of the two, physics has the deeper historical roots, and much of the inspiration behind the inference work derives from physics. Yet it is no accident that most of the papers at these meetings are on the inference side. To develop new physics, one must use one's brains alone. To develop inference, computers are used as well, so that the stunning advances in computational power render the field open to rapid advance. Indeed, we have seen a revolution. In the larger world of statistics beyond the maximum entropy movement as such, there is now an explosion of work in Bayesian methods, as the inherent superiority of a defensible and consistent logical structure becomes increasingly apparent in practice |
| Beschreibung: | 1 Online-Ressource (XI, 323 p) |
| ISBN: | 9789400901070 9789401065344 |
| DOI: | 10.1007/978-94-009-0107-0 |
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Datensatz im Suchindex
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| building | Verbundindex |
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| dewey-ones | 519 - Probabilities and applied mathematics |
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| dewey-search | 519.2 |
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| discipline | Physik Mathematik |
| doi_str_mv | 10.1007/978-94-009-0107-0 |
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| series2 | Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application |
| spelling | Skilling, John Verfasser aut Maximum Entropy and Bayesian Methods Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods edited by John Skilling, Sibusiso Sibisi Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods, Cambridge, England, 1994 Dordrecht Springer Netherlands 1996 1 Online-Ressource (XI, 323 p) txt rdacontent c rdamedia cr rdacarrier Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application 70 This volume records papers given at the fourteenth international maximum entropy conference, held at St John's College Cambridge, England. It seems hard to believe that just thirteen years have passed since the first in the series, held at the University of Wyoming in 1981, and six years have passed since the meeting last took place here in Cambridge. So much has happened. There are two major themes at these meetings, inference and physics. The inference work uses the confluence of Bayesian and maximum entropy ideas to develop and explore a wide range of scientific applications, mostly concerning data analysis in one form or another. The physics work uses maximum entropy ideas to explore the thermodynamic world of macroscopic phenomena. Of the two, physics has the deeper historical roots, and much of the inspiration behind the inference work derives from physics. Yet it is no accident that most of the papers at these meetings are on the inference side. To develop new physics, one must use one's brains alone. To develop inference, computers are used as well, so that the stunning advances in computational power render the field open to rapid advance. Indeed, we have seen a revolution. In the larger world of statistics beyond the maximum entropy movement as such, there is now an explosion of work in Bayesian methods, as the inherent superiority of a defensible and consistent logical structure becomes increasingly apparent in practice Mathematics Analytical biochemistry Distribution (Probability theory) Probability Theory and Stochastic Processes Statistical Physics, Dynamical Systems and Complexity Analytical Chemistry Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematik Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Maximum-Entropie-Methode (DE-588)4277537-1 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 1994 Cambridge gnd-content Maximum-Entropie-Methode (DE-588)4277537-1 s Bayes-Entscheidungstheorie (DE-588)4144220-9 s 2\p DE-604 Sibisi, Sibusiso Sonstige oth https://doi.org/10.1007/978-94-009-0107-0 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Skilling, John Maximum Entropy and Bayesian Methods Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods Mathematics Analytical biochemistry Distribution (Probability theory) Probability Theory and Stochastic Processes Statistical Physics, Dynamical Systems and Complexity Analytical Chemistry Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematik Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Maximum-Entropie-Methode (DE-588)4277537-1 gnd |
| subject_GND | (DE-588)4144220-9 (DE-588)4277537-1 (DE-588)1071861417 |
| title | Maximum Entropy and Bayesian Methods Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods |
| title_alt | Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods, Cambridge, England, 1994 |
| title_auth | Maximum Entropy and Bayesian Methods Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods |
| title_exact_search | Maximum Entropy and Bayesian Methods Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods |
| title_full | Maximum Entropy and Bayesian Methods Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods edited by John Skilling, Sibusiso Sibisi |
| title_fullStr | Maximum Entropy and Bayesian Methods Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods edited by John Skilling, Sibusiso Sibisi |
| title_full_unstemmed | Maximum Entropy and Bayesian Methods Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods edited by John Skilling, Sibusiso Sibisi |
| title_short | Maximum Entropy and Bayesian Methods |
| title_sort | maximum entropy and bayesian methods cambridge england 1994 proceedings of the fourteenth international workshop on maximum entropy and bayesian methods |
| title_sub | Cambridge, England, 1994 Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods |
| topic | Mathematics Analytical biochemistry Distribution (Probability theory) Probability Theory and Stochastic Processes Statistical Physics, Dynamical Systems and Complexity Analytical Chemistry Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematik Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Maximum-Entropie-Methode (DE-588)4277537-1 gnd |
| topic_facet | Mathematics Analytical biochemistry Distribution (Probability theory) Probability Theory and Stochastic Processes Statistical Physics, Dynamical Systems and Complexity Analytical Chemistry Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematik Bayes-Entscheidungstheorie Maximum-Entropie-Methode Konferenzschrift 1994 Cambridge |
| url | https://doi.org/10.1007/978-94-009-0107-0 |
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