- Autor
- Hasilová Kamila (University of Defence, Brno, Czech Republic), Horová Ivana (Masaryk University, Brno, Czech Republic), Vališ David (University of Defence, Brno, Czech Republic), Zámečník Stanislav (Masaryk University, Brno, Czech Republic)
- Tytuł
- A Comprehensive Exploration of Complete Cross-Validation for Circular Data
- Źródło
- Statistics in Transition, 2024, vol. 25, nr 3, s. 1-12, aneks, rys., bibliogr. 19 poz.
- Słowa kluczowe
- Estymacja, Analiza danych, Statystyka
Estimation, Data analysis, Statistics - Uwagi
- summ.
- Abstrakt
- 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 crossvalidation 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. (original abstract)
- Dostępne w
- Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
- Pełny tekst
- Pokaż
- Bibliografia
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- Cytowane przez
- ISSN
- 1234-7655
- Język
- eng
- URI / DOI
- http://dx.doi.org/10.59170/stattrans-2024-024