The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering:
These proceedings aim to collect the ideas presented, discussed, and disputed at the 40th Workshop on Bayesian Inference and Maximum Entropy, MaxEnt 2021. Skilling and Knuth seek to rebuild the foundations of quantum mechanics from probability theory, and Caticha competes in that endeavour with a ve...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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| Zusammenfassung: | These proceedings aim to collect the ideas presented, discussed, and disputed at the 40th Workshop on Bayesian Inference and Maximum Entropy, MaxEnt 2021. Skilling and Knuth seek to rebuild the foundations of quantum mechanics from probability theory, and Caticha competes in that endeavour with a very different entropy-based approach. Costa connects entropy with general relativity, Pessoa reports new insights on ecology and Yousefi derives classical density functional theory, both through the maximum entropy principle. Von Toussaint, Preuss, Albert, Rath, Ranftl and Kvas report the latest developments in regression and surrogate-based inference with applications to optimization and inverse problems in plasma physics, biomechanics and geodesy. Van Soom presents new priors for phonetics, Stern et al. propose a new haphazard sampling method, and Kelter uncovers two measure theoretic iss phonetics ues with hypothesis testing |
| Beschreibung: | Titelrückseite: This is a reprint of articles from the Conference Proceedings published online in the open access journal Physical Sciences Forum (ISSN ) (available at: https://www.mdpi.com/2673-9984/3/1). |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9783036532011 |
| DOI: | 10.3390/books978-3-0365-3201-1 |
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| spelling | maxent Verfasser aut The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering editors Wolfgang von der Linden, Sascha Ranftl MaxEnt 2021 TheFortieth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering Basel MDPI - Multidisciplinary Digital Publishing Institute [2022] The Hague OAPEN FOUNDATION © 2022 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Titelrückseite: This is a reprint of articles from the Conference Proceedings published online in the open access journal Physical Sciences Forum (ISSN ) (available at: https://www.mdpi.com/2673-9984/3/1). These proceedings aim to collect the ideas presented, discussed, and disputed at the 40th Workshop on Bayesian Inference and Maximum Entropy, MaxEnt 2021. Skilling and Knuth seek to rebuild the foundations of quantum mechanics from probability theory, and Caticha competes in that endeavour with a very different entropy-based approach. Costa connects entropy with general relativity, Pessoa reports new insights on ecology and Yousefi derives classical density functional theory, both through the maximum entropy principle. Von Toussaint, Preuss, Albert, Rath, Ranftl and Kvas report the latest developments in regression and surrogate-based inference with applications to optimization and inverse problems in plasma physics, biomechanics and geodesy. Van Soom presents new priors for phonetics, Stern et al. propose a new haphazard sampling method, and Kelter uncovers two measure theoretic iss phonetics ues with hypothesis testing Bayes-Inferenz (DE-588)4648118-7 gnd rswk-swf Maximum-Entropie-Methode (DE-588)4277537-1 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content (DE-588)1071861417 Konferenzschrift 2021 gnd-content Bayes-Inferenz (DE-588)4648118-7 s Maximum-Entropie-Methode (DE-588)4277537-1 s DE-604 Linden, Wolfgang von der 1957- (DE-588)1075472911 edt Ranftl, Sascha edt Erscheint auch als Druck-Ausgabe 978-3-0365-3200-4 https://directory.doabooks.org/handle/20.500.12854/81199 Verlag kostenfrei Volltext https://doi.org/10.3390/books978-3-0365-3201-1 Verlag kostenfrei Volltext |
| spellingShingle | The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering Bayes-Inferenz (DE-588)4648118-7 gnd Maximum-Entropie-Methode (DE-588)4277537-1 gnd |
| subject_GND | (DE-588)4648118-7 (DE-588)4277537-1 (DE-588)4143413-4 (DE-588)1071861417 |
| title | The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |
| title_alt | MaxEnt 2021 TheFortieth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |
| title_auth | The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |
| title_exact_search | The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |
| title_exact_search_txtP | The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |
| title_full | The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering editors Wolfgang von der Linden, Sascha Ranftl |
| title_fullStr | The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering editors Wolfgang von der Linden, Sascha Ranftl |
| title_full_unstemmed | The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering editors Wolfgang von der Linden, Sascha Ranftl |
| title_short | The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering |
| title_sort | the 40th international workshop on bayesian inference and maximum entropy methods in science and engineering |
| topic | Bayes-Inferenz (DE-588)4648118-7 gnd Maximum-Entropie-Methode (DE-588)4277537-1 gnd |
| topic_facet | Bayes-Inferenz Maximum-Entropie-Methode Aufsatzsammlung Konferenzschrift 2021 |
| url | https://directory.doabooks.org/handle/20.500.12854/81199 https://doi.org/10.3390/books978-3-0365-3201-1 |
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