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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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • e-ISSN

  • 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