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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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Detalles Bibliográficos
Autor principal: Zong, Zhi
Lenguaje:eng
Publicado: Elsevier Science 2006
Materias:
Acceso en línea:http://cds.cern.ch/record/2066186
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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
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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