Mise of kernel estimates of a density and its derivatives
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- Kairat Mynbaev & Carlos Martins-Filho & Aziza Aipenova, 2016.
"A Class of Nonparametric Density Derivative Estimators Based on Global Lipschitz Conditions,"
Advances in Econometrics, in: Gloria GonzÁlez-Rivera & R. Carter Hill & Tae-Hwy Lee (ed.), Essays in Honor of Aman Ullah, volume 36, pages 591-615,
Emerald Publishing Ltd.
- Mynbaev, Kairat & Martins-Filho, Carlos & Aipenova, Aziza, 2015. "A class of nonparametric density derivative estimators based on global Lipschitz conditions," MPRA Paper 75909, University Library of Munich, Germany, revised 2014.
- Duong, Tarn & Cowling, Arianna & Koch, Inge & Wand, M.P., 2008. "Feature significance for multivariate kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4225-4242, May.
- Paul Deheuvels & David Mason, 2004. "General Asymptotic Confidence Bands Based on Kernel-type Function Estimators," Statistical Inference for Stochastic Processes, Springer, vol. 7(3), pages 225-277, October.
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Keywordsestimates density derivatives of a density mean integrated square error asymptotic behavior;
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