Bandwidth selection for kernel density estimation: a Hermite series-based direct plug-in approach
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Publication:5037127
DOI10.1080/00949655.2020.1804571OpenAlexW3066422803MaRDI QIDQ5037127
Publication date: 25 February 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10316/92032
quadratic functionalsprojection methodsbandwidth selectionkernel density estimationHermite seriesdirect plug-in bandwidth selection
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Statistics (62-XX)
Related Items (3)
Kernel density estimation for circular data: a Fourier series-based plug-in approach for bandwidth selection ⋮ Maximum approximate Bernstein likelihood estimation in a two-sample semiparametric model ⋮ Choice of degree of Bernstein polynomial model
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Cites Work
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