MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering / / Udo Von Toussaint, Roland Preuss.
This Proceedings book presents papers from the 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2019. The workshop took place at the Max Planck Institute for Plasma Physics in Garching near Munich, Germany, from 30 June to 5 July 2019,...
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Place / Publishing House: | [Place of publication not identified] : : MDPI - Multidisciplinary Digital Publishing Institute,, 2020. |
Year of Publication: | 2020 |
Language: | English |
Physical Description: | 1 online resource (312 pages) |
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Toussaint, Udo Von, author. MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering / Udo Von Toussaint, Roland Preuss. [Place of publication not identified] : MDPI - Multidisciplinary Digital Publishing Institute, 2020. 1 online resource (312 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on: online resource; title from PDF information screen (Worldcat, viewed June 27 2023). This Proceedings book presents papers from the 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2019. The workshop took place at the Max Planck Institute for Plasma Physics in Garching near Munich, Germany, from 30 June to 5 July 2019, and invited contributions on all aspects of probabilistic inference, including novel techniques, applications, and work that sheds new light on the foundations of inference. Addressed are inverse and uncertainty quantification (UQ) and problems arising from a large variety of applications, such as earth science, astrophysics, material and plasma science, imaging in geophysics and medicine, nondestructive testing, density estimation, remote sensing, Gaussian process (GP) regression, optimal experimental design, data assimilation, and data mining. Bayesian statistical decision theory. 3-03928-476-2 Preuss, Roland, author. |
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Toussaint, Udo Von, Preuss, Roland, |
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Toussaint, Udo Von, Preuss, Roland, MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering / |
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Toussaint, Udo Von, Preuss, Roland, Preuss, Roland, |
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Preuss, Roland, |
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Toussaint, Udo Von, |
title |
MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering / |
title_full |
MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering / Udo Von Toussaint, Roland Preuss. |
title_fullStr |
MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering / Udo Von Toussaint, Roland Preuss. |
title_full_unstemmed |
MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering / Udo Von Toussaint, Roland Preuss. |
title_auth |
MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering / |
title_new |
MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering / |
title_sort |
maxent 2019-proceedings, 2019, maxent 2019the 39th international workshop on bayesian inference and maximum entropy methods in science and engineering / |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute, |
publishDate |
2020 |
physical |
1 online resource (312 pages) |
isbn |
3-03928-476-2 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
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QA279 |
callnumber-sort |
QA 3279.5 T687 42020 |
illustrated |
Not Illustrated |
dewey-hundreds |
500 - Science |
dewey-tens |
510 - Mathematics |
dewey-ones |
519 - Probabilities & applied mathematics |
dewey-full |
519.542 |
dewey-sort |
3519.542 |
dewey-raw |
519.542 |
dewey-search |
519.542 |
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MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering / |
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