On the Use of Stochastic Complexity in Spectral Analysis of Radial Velocity Data

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dc.contributor.author Forsell, V en
dc.contributor.author Giurcaneanu, Ciprian en
dc.contributor.editor Dumitrache, I en
dc.date.accessioned 2014-06-05T03:34:32Z en
dc.date.issued 2013 en
dc.identifier.citation Advances in Intelligent Control Systems and Computer Science, 2013, 187 pp. 1 - 14 en
dc.identifier.isbn 978-3-642-32547-2 en
dc.identifier.uri http://hdl.handle.net/2292/22199 en
dc.description.abstract The periodogram and its variants have been extensively used in the past for estimating the power spectral density. In this book chapter, we consider the case when the measurements are not equidistantly spaced on the time-axis, and we focus on testing the significance of the periodogram peaks. Because it is known that the standard tests of hypothesis testing are not suitable for this problem, we propose the use of Stochastic Complexity (SC). The performance of SC is evaluated in comparison with the Bayesian Information Criterion (BIC), which has been employed in the previous literature to solve the same problem. The numerical experiments on radial velocity measurements demonstrate that SC compares favorably with BIC. en
dc.publisher Springer-Verlag en
dc.relation.ispartof Advances in Intelligent Control Systems and Computer Science en
dc.relation.ispartofseries Advances in Intelligent Systems and Computing en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.springer.com/gp/open-access/springer-open#c2160 en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title On the Use of Stochastic Complexity in Spectral Analysis of Radial Velocity Data en
dc.type Book Item en
dc.identifier.doi 10.1007/978-3-642-32548-9_1 en
pubs.begin-page 1 en
pubs.volume 187 en
dc.rights.holder Copyright: Springer-Verlag en
pubs.author-url http://www.springerlink.com/content/u322750170248u60/ en
pubs.declined 2019-12-15T17:12:31.422+1300 en
pubs.declined 2020-02-02T17:30:23.296+1300 en
pubs.end-page 14 en
pubs.place-of-publication Berlin en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.elements-id 366463 en
pubs.org-id Faculty of Science en
pubs.org-id Statistics en
pubs.record-created-at-source-date 2012-12-03 en

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