Math 2.0

Probability theory and stochastic processes Stochastic processes: general theory Concept

Self-similar process

Summary

A self-similar process is a stochastic process whose law is unchanged when time is scaled by aa and space by aHa^H. The number HH is the Hurst index. The Wiener process and fractional Brownian motion are the main examples. Self-similar processes model random signals that look alike at every scale, in physics, hydrology, networks and finance.

Further reading

  1. Web https://en.wikipedia.org/wiki/Self-similar_process
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TagRASDTDEKP7
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Kindconcept
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MSC60G18
SpecializesStochastic process
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Changed2 November 2026

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