MICHAILIDIS, G.E., Ioannis SPYROGLOU, D. ZARIDIS and A.G. RIGAS. A Method of Estimating the Partial Power Spectrum of a Bivariate Point Process and an Application to a Neurophysiological Data Set. JOURNAL OF STATISTICAL THEORY AND PRACTICE. NEW YORK: SPRINGER, 2020, vol. 14, No 3, p. 36-49. ISSN 1559-8608. Available from: https://dx.doi.org/10.1007/s42519-020-00105-8.
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Basic information
Original name A Method of Estimating the Partial Power Spectrum of a Bivariate Point Process and an Application to a Neurophysiological Data Set
Authors MICHAILIDIS, G.E., Ioannis SPYROGLOU (300 Greece, guarantor, belonging to the institution), D. ZARIDIS and A.G. RIGAS.
Edition JOURNAL OF STATISTICAL THEORY AND PRACTICE, NEW YORK, SPRINGER, 2020, 1559-8608.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10103 Statistics and probability
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14740/20:00118373
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1007/s42519-020-00105-8
UT WoS 000540057600002
Keywords in English Partial power spectrum; Simple and cross-periodogram; Smoothing procedure; Spectral analysis; Muscle spindle
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Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 11/3/2021 19:11.
Abstract
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.
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