The Linear Dependency Structure of Covariance Nonstationary Time Series

dc.contributor.authorGersch, Will
dc.contributor.corporateNaval Postgraduate School (U.S.)en_US
dc.contributor.departmentOperations Research (OR)en_US
dc.dateJune 1987
dc.date.accessioned2019-10-01T20:58:48Z
dc.date.available2019-10-01T20:58:48Z
dc.date.issued1987-06
dc.descriptionPrepared for: Naval Postgraduate School Monterey, CA 93943-5000
dc.description.abstractThe linear dependence, feedback and casuality structure of covariance nonstationary time series is developed. at every instant in time, the amount of linear dependence between time series vectors is expressible as the sum of the amount of feedback from the first time series vector to the second, the amount of feedback from the second time series to the first and the amount of instantaneous feedback. The parametric modeling of multivariate covariance nonstationary time series and the computation of their interdependency structure from the fitted model are also treated. The time series is modeled by a multivariate time varying autoregressive (MVTVAR) model. The fitted MVTVAR model yields an instantaneous power spectral density (IPSD) matrix, The IPSD is used in computing the linear dependency structure of nonstationary time series. An example of the modeling and the determination of instantaneous casuality from a human implanted electrode seizure event EEG is shown.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.format.extent40 p.en_US
dc.identifier.npsreportNPS55-87-006en_US
dc.identifier.urihttps://hdl.handle.net/10945/63325
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.authorInformation theoryen_US
dc.subject.authorTime seriesen_US
dc.subject.authorTime varying modelen_US
dc.subject.authorAutoregressionen_US
dc.subject.authorFeedbacken_US
dc.subject.authorCasualityen_US
dc.subject.authorElectroencephalogramen_US
dc.titleThe Linear Dependency Structure of Covariance Nonstationary Time Seriesen_US
dc.typeTechnical Reporten_US
dspace.entity.typePublication
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