An approximate necessary condition for the optimal bandwidth selector in kernel density estimation
DOI10.4064/AM-22-1-123-138zbMath0789.62028OpenAlexW898892029MaRDI QIDQ4283025
Publication date: 14 March 1994
Published in: Applicationes Mathematicae (Search for Journal in Brave)
Full work available at URL: https://eudml.org/doc/219077
resamplingkernel density estimationfast convergenceself-learning algorithmoptimal bandwidth choiceapproximate necessary conditioniterative bandwidth selectorstepwise fitting
Density estimation (62G07) Numerical smoothing, curve fitting (65D10) Nonparametric statistical resampling methods (62G09) Probabilistic methods, stochastic differential equations (65C99)
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