A comprehensive exploration of complete cross-validation for circular data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F25%3A00563953" target="_blank" >RIV/60162694:G42__/25:00563953 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G43__/25:00563953 RIV/00216224:14310/24:00138844
Result on the web
<a href="https://sit.stat.gov.pl/Article/954" target="_blank" >https://sit.stat.gov.pl/Article/954</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.59170/stattrans-2024-024" target="_blank" >10.59170/stattrans-2024-024</a>

Result language
angličtina
Original language name
A comprehensive exploration of complete cross-validation for circular data
Original language description
Kernel density estimation of circular data has recently received considerable attention for its ability to model and analyse distributions on unit circles and other periodic domains. Our aim is to contribute to the literature on data-driven bandwidth selectors in circular kernel density estimation. We propose a novel circular-specific method that is based on a cross-validation procedure with a von Mises density used as a kernel function. Using simulated data as well as real-world circular datasets, we evaluate and validate the proposed method and compare it with the existing methods.
Czech name
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Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10103 - Statistics and probability

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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