On a plug-in smoothing parameter for circular data

J. Ameijeiras-Alonso

This talk presents a novel data-based smoothing parameter for circular kernel density estimation. We introduce a circular adaptation of the renowned Sheather and Jones bandwidths, replacing unknown quantities with suitable estimates using plug-in ideas. Theoretical support is provided. Additionally, we conduct a comprehensive simulation study to compare the performance of our proposed selectors with existing data-based smoothing parameters.

Keywords: Circular data; Directional Statistics, Kernel Density Estimation, Plug-in rule, Sheather and Jones bandwidth

Scheduled

GT09. NOPAR3
November 9, 2023  11:40 AM
HC1: Canónigos Room 1

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