Open Access
November, 1995 Empirical Spectral Processes and Their Applications to Stationary Point Processes
Michael Eichler
Ann. Appl. Probab. 5(4): 1161-1176 (November, 1995). DOI: 10.1214/aoap/1177004610

Abstract

We consider empirical spectral processes indexed by classes of functions for the case of stationary point processes. Conditions for the measurability and equicontinuity of these processes and a weak convergence result are established. The results can be applied to the spectral analysis of point processes. In particular, we discuss the application to parametric and nonparametric spectral density estimation.

Citation

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Michael Eichler. "Empirical Spectral Processes and Their Applications to Stationary Point Processes." Ann. Appl. Probab. 5 (4) 1161 - 1176, November, 1995. https://doi.org/10.1214/aoap/1177004610

Information

Published: November, 1995
First available in Project Euclid: 19 April 2007

zbMATH: 0851.60021
MathSciNet: MR1384370
Digital Object Identifier: 10.1214/aoap/1177004610

Subjects:
Primary: 60F05
Secondary: 60G55 , 62M15

Keywords: empirical spectral process , functional central limit theorem , Point processes , spectral density estimation

Rights: Copyright © 1995 Institute of Mathematical Statistics

Vol.5 • No. 4 • November, 1995
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