A Parzen–Rosenblatt type density estimator for circular data: exact and asymptotic optimal bandwidths
From MaRDI portal
Publication:6597455
DOI10.1080/03610926.2023.2264996MaRDI QIDQ6597455
Publication date: 3 September 2024
Published in: Communications in Statistics. Theory and Methods (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Kernel estimators of density function of directional data
- Kernel density estimation with spherical data
- Exact risk improvement of bandwidth selectors for kernel density estimation with directional data
- Automatic bandwidth selection for circular density estimation
- Exponential models for directional data
- Lower bounds for bandwidth selection in density estimation
- Exact mean integrated squared error
- Estimation of densities and derivatives of densities with directional data.
- A plug-in rule for bandwidth selection in circular density estimation
- Kernel density estimation for directional-linear data
- Statistical Analysis of Circular Data
- Remarks on Some Nonparametric Estimates of a Density Function
- Kernel density estimation for circular data: a Fourier series-based plug-in approach for bandwidth selection
- On Estimation of a Probability Density Function and Mode
This page was built for publication: A Parzen–Rosenblatt type density estimator for circular data: exact and asymptotic optimal bandwidths
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6597455)