estimate_crossvar: Perform the estimation of the variance Var(X_{s}X_{t)}.
In StevenGolovkine/funestim: Nonparametric Kernel Smoothing Methods for Functional Data
View source: R/estimate_parameters.R
estimate_crossvar R Documentation
Perform the estimation of the variance Var(X_{s}X_{t)}.
Description
This function performs an estimation of the variance Var(X_{s}X_{t)}
used for the estimation of the bandwidth for a univariate kernel regression
estimator defined over continuous domains data.
Usage
estimate_crossvar(curves_smooth_s, curves_smooth_t)
Arguments
curves_smooth_s
List, smoothing of the curves at point s and
resulting from the presmoothing function.
curves_smooth_t
List, smoothing of the curves at point t and
resulting from the presmoothing function.
Value
Numeric, estimation of Var(X_{s}X_{t)}.
References
Golovkine S., Klutchnikoff N., Patilea V. (2021) - Adaptive
estimation of irregular mean and covariance functions.
StevenGolovkine/funestim documentation built on June 15, 2022, 3:42 a.m.
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View source: R/estimate_parameters.R
| estimate_crossvar | R Documentation |
Perform the estimation of the variance Var(X_{s}X_{t)}.
Description
This function performs an estimation of the variance Var(X_{s}X_{t)} used for the estimation of the bandwidth for a univariate kernel regression estimator defined over continuous domains data.
Usage
estimate_crossvar(curves_smooth_s, curves_smooth_t)
Arguments
curves_smooth_s |
List, smoothing of the curves at point s and
resulting from the |
curves_smooth_t |
List, smoothing of the curves at point t and
resulting from the |
Value
Numeric, estimation of Var(X_{s}X_{t)}.
References
Golovkine S., Klutchnikoff N., Patilea V. (2021) - Adaptive estimation of irregular mean and covariance functions.
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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