A Bayesian procedure for bandwidth selection in circular kernel density estimation

DOI10.1515/mcma-2020-2056zbMath1436.62117OpenAlexW3009597749MaRDI QIDQ1985375

Kahina Bedouhene, Nabil Zougab

Publication date: 7 April 2020

Published in: Monte Carlo Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/mcma-2020-2056

zbMATH Keywords

plug-inbandwidth selectionMCMCcross validationloss functionsBayesian approachcircular density

Mathematics Subject Classification ID

Density estimation (62G07) Bayesian problems; characterization of Bayes procedures (62C10) Monte Carlo methods (65C05)

Related Items (1)

On nonparametric regression for bivariate circular long-memory time series

Uses Software

• NPCirc

Cites Work

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