Computes the data-driven bandwidth using a method based on the
spectral density operator which adapts to the functional data.
Usage
adaptive_bandwidth(
X,
kernel = bartlett_kernel,
name = NULL,
order = NULL,
weighting = NULL
)
Value
Scalar value of the data-adapted bandwidth.
Arguments
X
A dfts object or data which can be automatically converted to that
format. See dfts().
kernel
Kernel function. No additional parameters are needed for
bartlett_kernel(), parzen_kernel(), tukey_hanning_kernel(),
and quadratic_spectral_kernel().
name, order, weighting
Additional parameters if non-standard kernels, e.g.
those not in fChange, are used. See references for the definitions. Name is
extracted from the kernel name to select order/weighting when
not given, if the function aligns with the recommended functions, see
kernel parameter.
References
Rice, G., & Shang, H. L. (2017). A Plug‐in Bandwidth Selection
Procedure for Long‐Run Covariance Estimation with Stationary Functional Time
Series. Journal of Time Series Analysis, 38(4), 591–609.