Nanamiya, Kei - Institute of Economic Research, Hitotsubashi University - 2011
We propose new wavelet-based procedure to estimate the memory parameter of an unobserved process from an observed process affected by noise in order to improve the performance of the estimator by taking into account the dependency of the wavelet coefficients of long memory processes. In our...