Detection of independence relations from persegrams.
Result description
Procedures for computation with multidimensional models (multidimensional probability distributions) are efficient only for models with specific independence structure. Therefore, it is of great importance to learn the independence structure. The paper presents a solution of this task for models represented by generating sequences.
Keywords
multidimensional modelsprobability theoryconditional independence
The result's identifiers
Result code in IS VaVaI
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detection of independence relations from persegrams.
Original language description
Procedures for computation with multidimensional models (multidimensional probability distributions) are efficient only for models with specific independence structure. Therefore, it is of great importance to learn the independence structure. The paper presents a solution of this task for models represented by generating sequences.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 4th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty.
ISBN
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ISSN
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e-ISSN
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Number of pages
11
Pages from-to
52-62
Publisher name
VŠE
Place of publication
Praha
Event location
Jindřichův Hradec [CZ]
Event date
Sep 14, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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Basic information
Result type
D - Article in proceedings
CEP
BB - Applied statistics, operational research
Year of implementation
2001