Example processes

TimeseriesSurrogates.SNLSTFunction
SNLST(n_steps, x₀, k)

Dynamically linear process transformed by a strongly nonlinear static transformation (SNLST)[1].

Equations

The system is by the following map:

\[x(t) = k x(t-1) + a(t)\]

with the transformation $s(t) = x(t)^3$.

References

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TimeseriesSurrogates.AR1Function
AR1(n_steps, x₀, k)

Simple AR(1) model with no static transformation[1].

Equations

The system is given by the following map:

\[x(t+1) = k x(t) + a(t),\]

where $a(t)$ is a draw from a normal distribution with zero mean and unit variance. x₀ sets the initial condition and k is the tunable parameter in the map.

References

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