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statsmodels.tsa.statespace.tools.unconstrain_stationary_univariate

statsmodels.tsa.statespace.tools.unconstrain_stationary_univariate(constrained) [source]

Transform constrained parameters used in likelihood evaluation to unconstrained parameters used by the optimizer

Parameters: constrained (array) – Constrained parameters of, e.g., an autoregressive or moving average component, to be transformed to arbitrary parameters used by the optimizer.
Returns: unconstrained – Unconstrained parameters used by the optimizer, to be transformed to stationary coefficients of, e.g., an autoregressive or moving average component.
Return type: array

References

[*] Monahan, John F. 1984. “A Note on Enforcing Stationarity in Autoregressive-moving Average Models.” Biometrika 71 (2) (August 1): 403-404.

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© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.tsa.statespace.tools.unconstrain_stationary_univariate.html