Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1907
Title: On Circular Density Estimation - Fejér Kernel Approach
Authors: Klar, B.
Milošević, Bojana 
Obradović, Marko 
Affiliations: Probability and Mathematical Statistics 
Probability and Mathematical Statistics 
Issue Date: 2024
Rank: M34
Publisher: Beograd : Matematički fakultet
Related Publication(s): Abstracts of 15. Serbian Mathematical Congress
Conference: Serbian Mathematical Congress(15 ; 2024 ; Belgrade)
Abstract: 
Density estimation is one of the most important problems in nonparametric statistics, mainly due to its applications. However, in the case of circular data, it is insufficiently explored. Here we aim to fill in this gap by exploring the use of Fej´er kernel in the context of density estimation. We present some theoretical and empirical properties of such estimators, both in the classical setup, dealing with a random sample of circular data, and in the presence of the measurement error. The case of Berkson error model for circular data is considered here for the first time.
URI: https://research.matf.bg.ac.rs/handle/123456789/1907
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