qgv: qgv

In yuima: The YUIMA Project Package for SDEs

qgv

Description

Estimate the local Holder exponent with quadratic generalized variations method

Usage

qgv(yuima, filter.type = "Daubechies", order = 2, a = NULL)

Arguments

yuima	A yuima object.
filter.type	The filter.type can be set to "Daubechies" or "Classical".
order	The order of the filter a to be chosen
a	Any other filter

Details

Estimation of the Hurst index and the constant of the fractional Ornstein-Uhlenbeck process.

Value

an object of class qgv

Author(s)

The YUIMA Project Team

References

Brouste, A., Iacus, S.M. (2013) Parameter estimation for the discretely observed fractional Ornstein-Uhlenbeck process and the Yuima R package, Computational Statistics, pp. 1129–1147.

See Also

See also mmfrac.

Examples

# Estimating both Hurst parameter and diffusion coefficient in fractional Ornstein-Uhlenbeck

model<-setModel(drift="-x*lambda",hurst=NA,diffusion="theta")
sampling<-setSampling(T=100,n=10000)
yui1<-simulate(model,true.param=list(theta=1,lambda=4),hurst=0.7,sampling=sampling)
qgv(yui1)


# Estimating Hurst parameter only in diffusion processes

model2<-setModel(drift="-x*lambda",hurst=NA,diffusion="theta*sqrt(x)")
sampling<-setSampling(T=1,n=10000)
yui2<-simulate(model2,true.param=list(theta=1,lambda=4),hurst=0.7,sampling=sampling,xinit=10)
qgv(yui2)

yuima documentation built on Nov. 14, 2022, 3:02 p.m.