A method of estimating the partial power spectrum of a bivariate point process and an application to a neurophysiological data set

DOI10.1007/s42519-020-00105-8zbMath1450.62120OpenAlexW3033107471MaRDI QIDQ777834

Ioannis I. Spyroglou, Dimitrios Zaridis, Georgios E. Michailidis, Alexandros G. Rigas

Publication date: 7 July 2020

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42519-020-00105-8

zbMATH Keywords

spectral analysismuscle spindlesmoothing procedurepartial power spectrumsimple and cross-periodogram

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes and spectral analysis (62M15) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Cites Work

• Measuring the association of stationary point processes using spectral analysis techniques
• Time series: theory and methods.
• An introduction to the theory of point processes
• Identification of synaptic interactions
• The identification of point process systems
• SPECTRAL ANALYSIS OF STATIONARY POINT PROCESSES USING THE FAST FOURIER TRANSFORM ALGORITHM
• SPECTRAL ANALYSIS OF A STATIONARY BIVARIATE POINT PROCESS WITH APPLICATIONS TO NEUROPHYSIOLOGICAL PROBLEMS
• Time Series
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