fbm.msd: Mean square displacement of fractional Brownian motion.

Description Usage Arguments Details Value Examples

View source: R/fbm-msd.R

Description

Mean square displacement of fractional Brownian motion.

Usage

1
fbm.msd(tseq, H)

Arguments

tseq

Length-N vector of timepoints.

H

Hurst parameter (between 0 and 1).

Details

The mean squared displacement (MSD) of a stochastic process X_t is defined as

MSD_X(t) = E[(X_t - X_0)^2].

Fractional Brownian motion (fBM) is a continuous Gaussian process with stationary increments, such that its covariance function is entirely defined the MSD, which in this case is MSD_X(t) = |t|^(2H).

Value

Length-N vector of mean square displacements.

Examples

1
fbm.msd(tseq = 1:10, H = 0.4)

SuperGauss documentation built on May 1, 2019, 7:58 p.m.