Measuring the association of stationary point processes using spectral analysis techniques

DOI10.1007/s10260-011-0180-1zbMath1332.62356OpenAlexW2090372251MaRDI QIDQ257467

George J. Karavasilis, Alexandros G. Rigas, Dimitrios S. Tsitsis

Publication date: 17 March 2016

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-011-0180-1

zbMATH Keywords

asymptotic normalitypoint processesFourier-Stieltjes transformmeasures of associationcumulant densityneurophysiologyvariance-stabilizing transformation

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric tolerance and confidence regions (62G15) Inference from stochastic processes and spectral analysis (62M15) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (1)

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

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