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 and space by . The number 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
About this page
| Tag | RASDTDEKP7 |
|---|---|
| URI | m2://RASDTDEKP7 |
| Kind | concept |
| Writing | W0 stub |
| MSC | 60G18 |
| Specializes | Stochastic process |
| Same as | |
| Changed | 2 November 2026 |
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