Description Usage Arguments Details Value References See Also Examples
Computing the Gaussian density estimate based on h_ICV
.
1 | KDE_ICV(x)
|
x |
numerical vector of data. |
Computing the Gaussian density estimate based on h_ICV
. The ICV selection kernel L_ICV
is based on (α,σ)=(2.42,5.06).
A list containing the following components:
vector of sorted values of the argument at which the density estmate is computed,
vector of density estimates at the corresponding values of the argument.
The function also produces a graph of the resulting ICV kernel density estimate.
Savchuk, O.Y., Hart, J.D., Sheather, S.J. (2010). Indirect cross-validation for density estimation. Journal of the American Statistical Association, 105(489), 415-423.
Savchuk, O.Y., Hart, J.D., Sheather, S.J. (2009). An empirical study of indirect cross-validation. Nonparametric Statistics and Mixture Models: A Festschrift in Honor of Thomas P. Hettmansperger. World Scientific Publishing, 288-308.
ICV
, h_ICV
, L_ICV
, LocICV
, C_ICV
.
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