A Method of Estimating the Partial Power Spectrum of a Bivariate Point Process and an Application to a Neurophysiological Data Set

Varování

Publikace nespadá pod Filozofickou fakultu, ale pod Středoevropský technologický institut. Oficiální stránka publikace je na webu muni.cz.

Autoři	MICHAILIDIS G.E. SPYROGLOU Ioannis ZARIDIS D. RIGAS A.G.
Rok publikování	2020
Druh	Článek v odborném periodiku
Časopis / Zdroj	JOURNAL OF STATISTICAL THEORY AND PRACTICE
Fakulta / Pracoviště MU	Středoevropský technologický institut
Citace
www	https://link.springer.com/article/10.1007/s42519-020-00105-8
Doi	http://dx.doi.org/10.1007/s42519-020-00105-8
Klíčová slova	Partial power spectrum; Simple and cross-periodogram; Smoothing procedure; Spectral analysis; Muscle spindle
Popis	In this paper, we present a method of estimating the partial power spectrum of a bivariate point process. The method is based on the simple and cross-periodograms which are smoothed by applying a simple averaging weighting scheme in order to improve the properties of the estimate. The asymptotic distribution of the estimate is shown to be approximately normal when the amount of smoothing is large. An illustrative example is presented from the field of Neurophysiology when the complex system of the muscle spindle is affected by a static gamma motoneuron.
Související projekty:	Integrace signálu a epigenetické reprogramování pro produktivitu rostlin