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Empirical spectral processes and their applications to time series analysis

Stochastic Processes and their ApplicationsPublished 1 November 1988
Rainer Dahlhaus
Citations48
SJR quartileQ1
SJR score0.97
SNIP1.13

Abstract

This paper is concerned with the estimation of the spectral measure of a stationary process. Empirical spectral processes indexed by classes of functions are considered and an equicontinuity condition and a weak convergence result for the resulting spectral process are proved. Furthermore, some applications to time series analysis are given.

Keywords

Computer Science