Conservativeness of estimates given by probability density functions: Formulation and aspects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922177" target="_blank" >RIV/49777513:23520/14:43922177 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.inffus.2014.01.004" target="_blank" >http://dx.doi.org/10.1016/j.inffus.2014.01.004</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.inffus.2014.01.00" target="_blank" >10.1016/j.inffus.2014.01.00</a>
Alternative languages
Result language
angličtina
Original language name
Conservativeness of estimates given by probability density functions: Formulation and aspects
Original language description
In state estimation, the output of a filter can consist of a vector estimate with an associated quality matrix or it can be given by a probability density function. Although the first option prevails in tracking, in many problems, it is necessary to copewith multiple hypotheses, i.e. with multiple vector-matrix pairs. The pairs are called conservative, if the quality matrices do not undervalue a measure of uncertainty of the vector estimates. However, no conservativeness definition for multiple pairs or for densities has been coined yet. The paper proposes such a definition for densities, provides a sufficient condition, explores some aspects and gives several special cases and numerical examples.
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
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GC13-07058J" target="_blank" >GC13-07058J: Consistent Fusion in Networked Estimation Systems</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
Information Fusion
ISSN
1566-2535
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
117-128
UT code for WoS article
000337863500012
EID of the result in the Scopus database
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