Calibrated FFT-based density approximations for α -stable distributions
Computational Statistics and Data Analysis. Bd. 50. H. 8. New York, NY: Elsevier 2006 S. 1891 - 1904
Erscheinungsjahr: 2006
ISBN/ISSN: 0167-9473
Publikationstyp: Zeitschriftenaufsatz
Sprache: Englisch
Doi/URN: 10.1016/j.csda.2005.03.004
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Inhaltszusammenfassung
An algorithm for the approximation of α -stable densities is developed and compared with similar approximation methodologies. The proposed approach employs an adaptive Simpson rule for the quadrature of the Fourier inversion integral and asymptotic Bergström series expansions for the tails of the density. It is guaranteed that the approximation integrates precisely to unity which is helpful for numerical maximum-likelihood routines. The accuracy of the algorithm has been verified with respect...An algorithm for the approximation of α -stable densities is developed and compared with similar approximation methodologies. The proposed approach employs an adaptive Simpson rule for the quadrature of the Fourier inversion integral and asymptotic Bergström series expansions for the tails of the density. It is guaranteed that the approximation integrates precisely to unity which is helpful for numerical maximum-likelihood routines. The accuracy of the algorithm has been verified with respect to the values obtained by Nolan's program STABLE for a grid of parameter values. It is shown that a significant reduction of the computational effort with respect to Nolan's program can be achieved while maintaining a satisfying accuracy.» weiterlesen» einklappen
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DFG Fachgebiet:
Wirtschaftswissenschaften
DDC Sachgruppe:
Wirtschaft