SPECTRAL ANALYSIS OF A STATIONARY BIVARIATE POINT PROCESS WITH APPLICATIONS TO NEUROPHYSIOLOGICAL PROBLEMS

DOI10.1111/j.1467-9892.1996.tb00271.xzbMath0845.62066OpenAlexW2007461203MaRDI QIDQ4881706

Alexandros G. Rigas

Publication date: 11 June 1996

Published in: Journal of Time Series Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9892.1996.tb00271.x

zbMATH Keywords

coherence functioncross-intensity functionmuscle spindlespectral windowstationary bivariate point processcross-spectral densitycomplex physiological systemmodified cross-periodogram statisticsmoothed estimate

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Inference from stochastic processes and spectral analysis (62M15) Neural biology (92C20)

Related Items (6)

Spectral analysis techniques of stationary point processes: Extensions and applications to neurophysiological problems ⋮ Statistical methods and software for risk assessment: applications to a neurophysiological data set ⋮ A semi-parametric approach for comparing the estimated spectra of two stationary point processes ⋮ Spectra-based estimates of certain time-domain parameters of a bivariate stationary-point process ⋮ A method of estimating the partial power spectrum of a bivariate point process and an application to a neurophysiological data set ⋮ Measuring the association of stationary point processes using spectral analysis techniques

Cites Work

• An introduction to the theory of point processes
• The identification of point process systems
• Mathematical Considerations in the Estimation of Spectra
• The Role of Bandwidth in Spectral Analysis
• On Stochastic Limit and Order Relationships
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