New method accurately measures self-similarity in complex processes.
The researchers aimed to estimate the self-similarity of a Rosenblatt process using the Whittle estimator. They used chaos expansion and stochastic integrals to show that the estimator follows a specific statistical pattern. Through numerical simulations, they demonstrated how this method can accurately estimate the self-similarity index of the process.