Estimation of the self-similarity parameter in linear fractional stable motion
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CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
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We present a statistical study of wavelet coefficients of a fractional Brownian motion. A central limit theorem for empirical variances of exact wavelet coefficients is given. Under conditions on the mother wavelet and the choice of scales, a limit theorem is given for fitted wavelet coefficients computed from a time series. It provides an estimator for the self-similarity parameter of Gaussian time series