Optimal bandwidth selection for multivariate kernel deconvolution density estimation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s11749-006-0027-5.pdf
Reference23 articles.
1. Barry J, Diggle P (1995) Choosing the smoothing parameter in a Fourier approach to nonparametric deconvolution of a density estimate. J Nonparametric Stat 4(3):223–232
2. Bowman AW (1984) An alternative method of cross-validation for the smoothing of density estimates. Biometrika 71(2):353–360
3. Carroll RJ, Hall P (1988) Optimal rates of convergence for deconvolving a density. J Am Stat Assoc 83(404):1184–1186
4. Delaigle A, Gijbels I (2004a) Bootstrap bandwidth selection in kernel density estimation from a contaminated sample. Ann Inst Stat Math 56(1):19–47
5. Delaigle A, Gijbels I (2004b) Practical bandwidth selection in deconvolution kernel density estimation. Comput Stat Data Anal 45(2):249–267
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