Self-similar processes, fractional Brownian motion and statistical inference
Self-similar processes, fractional Brownian motion and statistical inference
<!-- *** Custom HTML *** --> Self-similar stochastic processes are used for stochastic modeling whenever it is expected that long range dependence may be present in the phenomenon under consideration. After discussing some basic concepts of self-similar processes and fractional Brownian motion, we review some recent work on parametric and …