Abstract
Using the notation K h (·) to denote (1/h)K(·/h), let the univariate kernel estimate with bandwidth h > 0 and kernel K be
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
§16.7. References
M. S. Bartlett, “Statistical estimation of density functions,” Sankhya Series A, vol. 25, pp. 245–254, 1963.
A. Berlinet, “Hierarchies of higher order kernels,” Probability Theory and Related Fields, vol. 94, pp. 489–504, 1993.
K. B. Davis, “Mean square error properties of density estimates,” Annals of Statistics, vol. 5, pp. 1025–1030, 1975.
K. B. Davis, “Mean integrated square error properties of density estimates,” Annals of Statistics, vol. 5, pp. 530–535, 1977.
L. Devroye, “Asymptotic performance bounds for the kernel estimate,” Annals of Statistics, vol. 16, pp. 1162–1179, 1988.
L. Devroye, “A universal lower bound for the kernel estimate,” Statistics and Probability Letters, vol. 8, pp. 419–423, 1989.
L. Devroye, “Universal smoothing factor selection in density estimation: theory and practice (with discussion),” Test, vol. 6, pp. 223–320, 1997.
L. Devroye, A Course In Density Estimation, Birkhäuser-Verlag, Boston, 1987.
L. Devroye and L. Györfi, Nonparametric Density Estimation. The L 1 View, Wiley, New York, 1985.
L. Devroye and C. S. Penrod, “Distribution-free lower bounds in density estimation,” Annals of Statistics, vol. 12, pp. 1250–1262, 1984.
T. Gasser, H.-G. Müller, and V. Mammitzsch, “Kernels for nonparametric curve estimation,” Journal of the Royal Statistical Society, Series B, vol. 47, pp. 238–252, 1985.
B. L. Granovsky and H.-G. Müller, “On the optimality of a class of polynomial kernel functions,” Statistics and Decisions, vol. 7, pp. 301–312, 1989.
P. Hall and J. S. Marron, “Choice of kernel order in density estimation,” Annals of Statistics, vol. 16, pp. 161–173, 1988.
H.-G. Müller, “Smooth optimum kernel estimators of densities, regression curves and modes,” Annais of Statistics, vol. 12, pp. 766–774, 1984.
W. Stuetzle and Y. Mittal, “Some comments on the asymptotic behavior of robust smoothers,” in: Proceedings of the Heidelberg Workshop (edited by T. Gasser and M. Rosenblatt), pp. 191–195, Springer Lecture Notes in Mathematics 757, Springer-Verlag, Heidelberg, 1979.
G. S. Watson and M. R. Leadbetter, “On the estimation of the probability density,” Annais of Mathematical Statistics, vol. 34, pp. 480–491, 1963.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media New York
About this chapter
Cite this chapter
Devroye, L., Lugosi, G. (2001). Choosing the Kernel Order. In: Combinatorial Methods in Density Estimation. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0125-7_16
Download citation
DOI: https://doi.org/10.1007/978-1-4613-0125-7_16
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6527-6
Online ISBN: 978-1-4613-0125-7
eBook Packages: Springer Book Archive