Fully probabilistic knowledge expression and incorporation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093071" target="_blank" >RIV/61989100:27240/14:86093071 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/14:00438275
Result on the web
<a href="http://dx.doi.org/10.4310/SII.2014.v7.n4.a7" target="_blank" >http://dx.doi.org/10.4310/SII.2014.v7.n4.a7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4310/SII.2014.v7.n4.a7" target="_blank" >10.4310/SII.2014.v7.n4.a7</a>
Alternative languages
Result language
angličtina
Original language name
Fully probabilistic knowledge expression and incorporation
Original language description
An exploitation of prior knowledge in parameter estimation becomes vital whenever measured data is not informative enough. Elicitation of quantified prior knowledge is a well-elaborated art in societal and medical applications but not in the engineeringones. Frequently required involvement of a facilitator is mostly unrealistic due to either facilitator's high costs or complexity of modelled relationships that cannot be grasped by humans. This paper provides a facilitator-free approach based on an advanced knowledge-sharing methodology. It presents the approach on commonly available types of knowledge and applies the methodology to a normal controlled autoregressive model.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA13-13502S" target="_blank" >GA13-13502S: Fully Probabilistic Design of Dynamic Decision Strategies for Imperfect Participants in Market Scenarios</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Statistics and its Interface
ISSN
1938-7989
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
503-515
UT code for WoS article
000348624200008
EID of the result in the Scopus database
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