DOF_norm: Degrees of freedom (DOF) for the Normal kernel
In QuadratiK: Collection of Methods Constructed using Kernel-Based Quadratic Distances
DOF_norm R Documentation
Degrees of freedom (DOF) for the Normal kernel
Description
Compute the Degrees of Freedom (DOF) of the normal Kernel centered with
respect to the standard normal distribution, given the dimension d and the
bandwidth parameter h.
Usage
DOF_norm(Sigma_h, V)
Arguments
Sigma_h
covariance matrix of the gaussian kernel
V
Covariance matrix of the tested distribution G
Value
a list containing the DOF and the coefficient c of the asymptotic
distribution
QuadratiK documentation built on Oct. 29, 2024, 5:08 p.m.
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| DOF_norm | R Documentation |
Degrees of freedom (DOF) for the Normal kernel
Description
Compute the Degrees of Freedom (DOF) of the normal Kernel centered with respect to the standard normal distribution, given the dimension d and the bandwidth parameter h.
Usage
DOF_norm(Sigma_h, V)
Arguments
Sigma_h |
covariance matrix of the gaussian kernel |
V |
Covariance matrix of the tested distribution G |
Value
a list containing the DOF and the coefficient c of the asymptotic distribution
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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