Skip to content

Feature request: nonparametric power-law surrogates #133

Description

@kahaaga

Is your feature request related to a problem? Please describe.

Moore et al. (2022) introduces an algorithm to generate surrogate data that obeys the same power-law distribution as the original data. The algorithm takes integer-valued time series as input, and works by prime-factor-decomposing each data point, and then shuffling prime factors in some way (I haven't read the paper in detail).

This looks like a method we should offer.

References

https://journals.aps.org/prx/abstract/10.1103/PhysRevX.12.021056

Metadata

Metadata

Assignees

No one assigned

    Type

    No type
    No fields configured for issues without a type.

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions