Parameter estimation in models generated by SDEs with symmetric alpha-stable noise
Анотація
This article considers vector parameter estimators in statistical models generated by Lévy processes. An improved one-step estimator is presented which can be used for improving any other estimator. Combined numerical methods for optimization problems are proposed. A software has been developed and a correspondent testing and comparison have been presented.
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