LPWN: Local polynomial Whittle plus noise estimator

In FunWithR/LongMemoryTS: Long Memory Time Series

Description

LPWN calculates the local polynomial Whittle plus noise estimator of Frederiksen et al. (2012).

Usage

LPWN(data, m, R_short = 0, R_noise = 0)

Arguments

data	data vector
m	bandwith parameter specifying the number of Fourier frequencies.
R_short	number of (even) polynomial terms used for approximation of spectral density at the origin.
R_noise	number of (even) polynomial terms used for approximation of dependence in perturbation term.

Details

add details here.

References

Frederiksen, P., Nielsen, F. S., and Nielsen, M. O. (2012): Local polynomial Whittle estimation of perturbed fractional processes. Journal of Econometrics, Vol. 167, No.2, pp. 426-447.

Examples

library(fracdiff)
T<-2000
d<-0.2
series<-fracdiff.sim(n=T, d=d, ar=0.6)$series+rnorm(T)
LPWN(series, m=floor(1+T^0.8), R_short=1, R_noise=0)

FunWithR/LongMemoryTS documentation built on May 12, 2019, 10:29 p.m.