Comparison of Confidence Sets Designs for Various Degrees of Knowledge
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962471" target="_blank" >RIV/49777513:23520/21:43962471 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9626991/" target="_blank" >https://ieeexplore.ieee.org/document/9626991/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of Confidence Sets Designs for Various Degrees of Knowledge
Original language description
Confidence sets are random sets constructed in such a way that the probability that they contain the estimated parameter achieves a chosen level. This paper deals with combining information from two estimates and discusses several designs with respect to various degrees of knowledge of the joint probability density function. Namely, the designs by fusion, intersection and union are considered for unknown joint density, known Gaussian joint density and Gaussian joint density with unknown cross-covariance. Evaluation criteria are proposed and the confidence sets are compared using simple numerical example.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GC20-06054J" target="_blank" >GC20-06054J: Intelligent Distributed Estimation Architectures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
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 2021 24th International Conference on Information Fusion (FUSION)
ISBN
978-1-73774-971-4
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1-7
Publisher name
IEEE
Place of publication
Sun City
Event location
Sun City, Jihoafrická republika
Event date
Nov 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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