A Method of Estimating the Partial Power Spectrum of a Bivariate Point Process and an Application to a Neurophysiological Data Set
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F20%3A00118373" target="_blank" >RIV/00216224:14740/20:00118373 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s42519-020-00105-8" target="_blank" >https://link.springer.com/article/10.1007/s42519-020-00105-8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s42519-020-00105-8" target="_blank" >10.1007/s42519-020-00105-8</a>
Alternative languages
Result language
angličtina
Original language name
A Method of Estimating the Partial Power Spectrum of a Bivariate Point Process and an Application to a Neurophysiological Data Set
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/EF16_026%2F0008446" target="_blank" >EF16_026/0008446: Signal integration and epigenetic reprograming for plant productivity</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
JOURNAL OF STATISTICAL THEORY AND PRACTICE
ISSN
1559-8608
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
36
UT code for WoS article
000540057600002
EID of the result in the Scopus database
2-s2.0-85085982637