Convergence rates of kernel density estimates in particle filtering

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10454990" target="_blank" >RIV/00216208:11320/19:10454990 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/19:00506808
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=M1z9PxRmLJ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=M1z9PxRmLJ</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.spl.2019.06.013" target="_blank" >10.1016/j.spl.2019.06.013</a>

Result language
angličtina
Original language name
Convergence rates of kernel density estimates in particle filtering
Original language description
Bounds on convergence rates of kernel density estimates in particle filtering are specified. The kernel density estimates are shown to be efficient for the Sobolev class of filtering densities. The upper bounds are established using Fourier analysis whilst the lower ones rely on tools of information theory. (C) 2019 Elsevier B.V. All rights reserved.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10103 - Statistics and probability

Project
<a href="/en/project/EF16_013%2F0001787" target="_blank" >EF16_013/0001787: Collaboration on Fermilab experiments</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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