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Information-theoretic methods for estimating of complicated probability distributions
Mixing up various disciplines frequently produces something that are profound and far-reaching. Cybernetics is such an often-quoted example. Mix of information theory, statistics and computing technology proves to be very useful, which leads to the recent development of information-theory based meth...
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Lenguaje: | eng |
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Elsevier Science
2006
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Acceso en línea: | http://cds.cern.ch/record/2066186 |
_version_ | 1780948681299591168 |
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author | Zong, Zhi |
author_facet | Zong, Zhi |
author_sort | Zong, Zhi |
collection | CERN |
description | Mixing up various disciplines frequently produces something that are profound and far-reaching. Cybernetics is such an often-quoted example. Mix of information theory, statistics and computing technology proves to be very useful, which leads to the recent development of information-theory based methods for estimating complicated probability distributions. Estimating probability distribution of a random variable is the fundamental task for quite some fields besides statistics, such as reliability, probabilistic risk analysis (PSA), machine learning, pattern recognization, image processing, neur |
id | cern-2066186 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2006 |
publisher | Elsevier Science |
record_format | invenio |
spelling | cern-20661862021-04-21T20:03:14Zhttp://cds.cern.ch/record/2066186engZong, ZhiInformation-theoretic methods for estimating of complicated probability distributionsMathematical Physics and MathematicsMixing up various disciplines frequently produces something that are profound and far-reaching. Cybernetics is such an often-quoted example. Mix of information theory, statistics and computing technology proves to be very useful, which leads to the recent development of information-theory based methods for estimating complicated probability distributions. Estimating probability distribution of a random variable is the fundamental task for quite some fields besides statistics, such as reliability, probabilistic risk analysis (PSA), machine learning, pattern recognization, image processing, neurElsevier Scienceoai:cds.cern.ch:20661862006 |
spellingShingle | Mathematical Physics and Mathematics Zong, Zhi Information-theoretic methods for estimating of complicated probability distributions |
title | Information-theoretic methods for estimating of complicated probability distributions |
title_full | Information-theoretic methods for estimating of complicated probability distributions |
title_fullStr | Information-theoretic methods for estimating of complicated probability distributions |
title_full_unstemmed | Information-theoretic methods for estimating of complicated probability distributions |
title_short | Information-theoretic methods for estimating of complicated probability distributions |
title_sort | information-theoretic methods for estimating of complicated probability distributions |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/2066186 |
work_keys_str_mv | AT zongzhi informationtheoreticmethodsforestimatingofcomplicatedprobabilitydistributions |