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%2F67985807%3A_____%2F19%3A00506808" target="_blank" >RIV/67985807:_____/19:00506808 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11320/19:10454990

Result on the web

<a href="http://dx.doi.org/10.1016/j.spl.2019.06.013" target="_blank" >http://dx.doi.org/10.1016/j.spl.2019.06.013</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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Statistics & Probability Letters

ISSN

0167-7152

e-ISSN

—

Volume of the periodical

153

Issue of the periodical within the volume

October

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

7

Pages from-to

164-170

UT code for WoS article

000480667100023

EID of the result in the Scopus database

2-s2.0-85068221086