Paper Search Console

Home Search Page About Contact

Journal Title

Title of Journal: Ann Inst Stat Math

Search In Journal Title:

Abbravation: Annals of the Institute of Statistical Mathematics

Search In Journal Abbravation:

Publisher

Springer-Verlag

Search In Publisher:

DOI

10.1007/978-1-4471-0917-4_4

Search In DOI:

ISSN

1572-9052

Search In ISSN:
Search In Title Of Papers:

Higherorder accurate polyspectral estimation with

Authors: Arthur Berg Dimitris N Politis
Publish Date: 2007/09/21
Volume: 61, Issue: 2, Pages: 477-498
PDF Link

Abstract

Improved performance in higherorder spectral density estimation is achieved using a general class of infiniteorder kernels These estimates are asymptotically less biased but with the same order of variance as compared to the classical estimators with secondorder kernels A simple datadependent algorithm for selecting the bandwidth is introduced and is shown to be consistent with estimating the optimal bandwidth The combination of the specialized family of kernels with the new bandwidth selection algorithm yields a considerably improved polyspectral estimator surpassing the performances of existing estimators using secondorder kernels Bispectral simulations with several standard models are used to demonstrate the enhanced performance with the proposed methodology


Keywords:

References


.
Search In Abstract Of Papers:
Other Papers In This Journal:


Search Result: