Spectral analysis for categorical time series: Scaling and the spectral envelope

David S. Stoffer, David E. Tyler, Andrew J. Mcdougall

Research output: Contribution to journalArticle

45 Scopus citations

Abstract

SUMMARY: Many studies produce categorical time series in which harmonic analysis is of interest. Although there exist time domain approaches for the analysis of categorical time series such as Markov chains or link function based regression models, there is apparently little statistical theory or methodology for analyzing qualitative-valued time series in the frequency domain. The purpose of this paper is to initiate the development of a general framework for the frequency domain analysis of categorical time series. In doing so, we discuss the scaling of categorical time series and introduce a new concept that we call the spectral envelope of a categorical time series. We demonstrate our methodology on a data set from a problem in molecular biology.

Original languageEnglish
Pages (from-to)611-622
Number of pages12
JournalBiometrika
Volume80
Issue number3
DOIs
StatePublished - 1 Sep 1993

Keywords

  • Asymptotic distribution of latent roots and vectors
  • DNA sequencing
  • Frequency domain analysis
  • Markov chain
  • Multinomial time series
  • Scaling
  • Spectral envelope

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