Maximum Entropy and Bayesian Methods: Santa Barbara, California, U.S.A., 1993
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Dordrecht
Springer Netherlands
1996
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Schriftenreihe: | Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application
62 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics. Audience: Researchers and other professionals whose work requires the application of practical statistical inference |
Beschreibung: | 1 Online-Ressource (X, 414 p) |
ISBN: | 9789401587297 9789048144075 |
DOI: | 10.1007/978-94-015-8729-7 |
Internformat
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245 | 1 | 0 | |a Maximum Entropy and Bayesian Methods |b Santa Barbara, California, U.S.A., 1993 |c edited by Glenn R. Heidbreder |
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490 | 0 | |a Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application |v 62 | |
500 | |a Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics. Audience: Researchers and other professionals whose work requires the application of practical statistical inference | ||
650 | 4 | |a Mathematics | |
650 | 4 | |a Radiology, Medical | |
650 | 4 | |a Artificial intelligence | |
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Datensatz im Suchindex
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any_adam_object | |
author | Heidbreder, Glenn R. |
author_facet | Heidbreder, Glenn R. |
author_role | aut |
author_sort | Heidbreder, Glenn R. |
author_variant | g r h gr grh |
building | Verbundindex |
bvnumber | BV042416186 |
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dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.2 |
dewey-search | 519.2 |
dewey-sort | 3519.2 |
dewey-tens | 510 - Mathematics |
discipline | Physik Mathematik |
doi_str_mv | 10.1007/978-94-015-8729-7 |
format | Electronic eBook |
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isbn | 9789401587297 9789048144075 |
language | English |
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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 | Heidbreder, Glenn R. Verfasser aut Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 edited by Glenn R. Heidbreder Proceedings of the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods Dordrecht Springer Netherlands 1996 1 Online-Ressource (X, 414 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 62 Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics. Audience: Researchers and other professionals whose work requires the application of practical statistical inference Mathematics Radiology, Medical Artificial intelligence Distribution (Probability theory) Statistics Probability Theory and Stochastic Processes Statistics, general Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Imaging / Radiology Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik Statistik https://doi.org/10.1007/978-94-015-8729-7 Verlag Volltext |
spellingShingle | Heidbreder, Glenn R. Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 Mathematics Radiology, Medical Artificial intelligence Distribution (Probability theory) Statistics Probability Theory and Stochastic Processes Statistics, general Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Imaging / Radiology Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik Statistik |
title | Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 |
title_alt | Proceedings of the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods |
title_auth | Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 |
title_exact_search | Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 |
title_full | Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 edited by Glenn R. Heidbreder |
title_fullStr | Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 edited by Glenn R. Heidbreder |
title_full_unstemmed | Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 edited by Glenn R. Heidbreder |
title_short | Maximum Entropy and Bayesian Methods |
title_sort | maximum entropy and bayesian methods santa barbara california u s a 1993 |
title_sub | Santa Barbara, California, U.S.A., 1993 |
topic | Mathematics Radiology, Medical Artificial intelligence Distribution (Probability theory) Statistics Probability Theory and Stochastic Processes Statistics, general Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Imaging / Radiology Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik Statistik |
topic_facet | Mathematics Radiology, Medical Artificial intelligence Distribution (Probability theory) Statistics Probability Theory and Stochastic Processes Statistics, general Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Imaging / Radiology Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik Statistik |
url | https://doi.org/10.1007/978-94-015-8729-7 |
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