Reference health
Lower bounds for bandwidth selection in density estimation
19/19 checkable references clean · checked 2026-08-28
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 19 checked references that resolve
resolves10.1093/biomet/71.2.353
An alternative method of cross-validation for the smoothing of density estimates
resolves10.1016/0304-4149(82)90003-5
Limit theorems for stochastic measures of the accuracy of density estimators
resolves10.1007/BF00363516
Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation
resolves10.1016/0167-7152(90)90090-T
A short note on optimal bandwidth selection for kernel estimators
resolves10.1016/0047-259X(86)90090-4
Convergence properties of an empirical error criterion for multivariate density estimation
resolves10.1016/0047-259X(86)90021-7
Random approximations to some measures of accuracy in nonparametric curve estimation
The 10 references without a DOI — listed, not checked
no DOI — not checkedAnderson, G.D.: A comparison of methods for estimating a probability density function. Phd Dissertation, University of Washington, 1969
no DOI — not checkedBickel, P., Ritov, Y.: Estimating integrated squared density derivatives: sharp best order of convergence estimates. Sankhya50-A, 381–393 (1988)
no DOI — not checkedBurkholder, D.L.: Distribution function inequalities for martingales. Ann. Probab.1, 19–42 (1973)
no DOI — not checkedDevroye, L., Györfi, L.: Nonparametric density estimation: the L1 View. New York; Wiley 1984
no DOI — not checkedDonoho, D., Liu, R.: Geometrizing rates of convergence (unpublished manuscript 1987)
no DOI — not checkedEs, B. van.: Likelihood cross-validation bandwidth selection for nonparametric kernel density estimators. J. Nonparamet. Stat. (in press 1991)
no DOI — not checkedHall, P., Marron, J.S.: On the amount of noise inherent in bandwidth selection for a kernel density estimator. Ann. Stat.15, 163–181 (1987b)
no DOI — not checkedHärdle, W., Hall, P., Marron, J.S.: How far are automatically chosen regression smoothers from their optimum?. J. Am. Stat. Assoc.83, 86–95 (1988)
no DOI — not checkedRudemo, M.: Empirical choice of histograms and kernel density estimators. Scand. J. Stat.9, 65–78 (1982)
no DOI — not checkedSilverman, B.W.: Density estimation for statistics and data analysis. New York: Chapman and Hall 1986
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