Fractional Brownian motion is a generalization of standard Brownian motion that incorporates long-range dependence and self-similarity, characterized by a parameter known as Hurst exponent. This process exhibits unique properties that make it suitable for modeling various phenomena in fields like finance, telecommunications, and natural sciences, where patterns exhibit fractal-like behaviors.
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