h_kr {rlfsm} | R Documentation |
Function h_kr
Description
Function h_{k,r}: R \to R
is given by
h_{k,r} (x) = \sum_{j=0}^k (-1)^j {{k}\choose{j}} (x-rj)_+^{H-1/\alpha}, \ \ \ x\in R
Usage
h_kr(k, r, x, H, alpha, l = 0)
Arguments
k |
order of the increment, a natural number |
r |
difference step, a natural number |
x |
real number |
H |
Hurst parameter |
alpha |
self-similarity parameter of alpha stable random motion. |
l |
a value by which we shift x. Is used for computing function f_.+l and is passed to integrate function. |
References
Mazur S, Otryakhin D, Podolskij M (2020). “Estimation of the linear fractional stable motion.” Bernoulli, 26(1), 226–252. https://doi.org/10.3150/19-BEJ1124.
Examples
#### Plot h_kr ####
s<-seq(0,10, by=0.01)
h_val<-sapply(s,h_kr, k=5, r=1, H=0.3, alpha=1)
plot(s,h_val)
[Package rlfsm version 1.1.2 Index]