Tommaso, Proietti and Alessandra, Luati
(2012):
*The Generalised Autocovariance Function.*

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## Abstract

The generalised autocovariance function is defined for a stationary stochastic process as the inverse Fourier transform of the power transformation of the spectral density function. Depending on the value of the transformation parameter, this function nests the inverse and the traditional autocovariance functions. A frequency domain non-parametric estimator based on the power transformation of the pooled periodogram is considered and its asymptotic distribution is derived. The results are employed to construct classes of tests of the white noise hypothesis, for clustering and discrimination of stochastic processes and to introduce a novel feature matching estimator of the spectrum.

Item Type: | MPRA Paper |
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Original Title: | The Generalised Autocovariance Function |

Language: | English |

Keywords: | Stationary Gaussian processes. Non-parametric spectral estimation. White noise tests. Feature matching. Discriminant Analysis |

Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes |

Item ID: | 43711 |

Depositing User: | Tommaso Proietti |

Date Deposited: | 11 Jan 2013 14:52 |

Last Modified: | 27 Sep 2019 04:46 |

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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/43711 |