Data-Based Choice of the Number of Pilot Stages for Plug-in Bandwidth Selection
From MaRDI portal
Publication:2839079
DOI10.1080/03610926.2011.606486zbMath1319.62074OpenAlexW2166997681MaRDI QIDQ2839079
José E. Chacón, Carlos Tenreiro
Publication date: 4 July 2013
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10316/43974
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
Related Items (3)
Bandwidth selection for kernel density estimation: a Hermite series-based direct plug-in approach ⋮ A weighted least-squares cross-validation bandwidth selector for kernel density estimation ⋮ On automatic kernel density estimate-based tests for goodness-of-fit
Cites Work
- Unnamed Item
- Using non-stochastic terms to advantage in kernel-based estimation of integrated squared density derivatives
- Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation
- Large sample optimality of least squares cross-validation in density estimation
- An asymptotically optimal window selection rule for kernel density estimates
- Estimation of integrated squared density derivatives
- Choice of kernel order in density estimation
- Exact mean integrated squared error
- A comparative study of several smoothing methods in density estimation
- On the asymptotic normality of multistage integrated density derivatives kernel estimators.
- On the use of pilot estimators in bandwidth selection
- Improving Sheather and Jones’ bandwidth selector for difficult densities in kernel density estimation
This page was built for publication: Data-Based Choice of the Number of Pilot Stages for Plug-in Bandwidth Selection
