dc.contributor.author | Radojičić, Una | |
dc.contributor.author | Nordhausen, Klaus | |
dc.contributor.editor | Ansari, Jonathan | |
dc.contributor.editor | Fuchs, Sebastian | |
dc.contributor.editor | Trutschnig, Wolfgang | |
dc.contributor.editor | Asunción Lubiano, María | |
dc.contributor.editor | Ángeles Gil, María | |
dc.contributor.editor | Grzegorzewski, Przemyslaw | |
dc.contributor.editor | Hryniewicz, Olgierd | |
dc.date.accessioned | 2024-08-21T09:25:51Z | |
dc.date.available | 2024-08-21T09:25:51Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Radojičić, U., & Nordhausen, K. (2024). Order Determination in Second-Order Source Separation Models Using Data Augmentation. In J. Ansari, S. Fuchs, W. Trutschnig, M. Asunción Lubiano, M. Ángeles Gil, P. Grzegorzewski, & O. Hryniewicz (Eds.), <i>Combining, Modelling and Analyzing Imprecision, Randomness and Dependence</i> (pp. 371-379). Springer. Advances in Intelligent Systems and Computing, 1458. <a href="https://doi.org/10.1007/978-3-031-65993-5_46" target="_blank">https://doi.org/10.1007/978-3-031-65993-5_46</a> | |
dc.identifier.other | CONVID_233411155 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/96709 | |
dc.description.abstract | We propose a robust estimator for the number of latent components in an internal noise model within the second-order source separation (SOS) framework. Our approach utilizes a data augmentation strategy in conjunction with the robust SOS approach eSAM-AMUSE, which combines information from eigenvalues and variations of eigenvectors of eSAM-AMUSE. The resulting dimension estimate can be visualized using a ladle plot. Through a simulation study, we demonstrate the superior properties of the new estimator, which outperforms the bootstrap-based AMUSEladle estimator. | en |
dc.format.extent | 565 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartof | Combining, Modelling and Analyzing Imprecision, Randomness and Dependence | |
dc.relation.ispartofseries | Advances in Intelligent Systems and Computing | |
dc.rights | In Copyright | |
dc.title | Order Determination in Second-Order Source Separation Models Using Data Augmentation | |
dc.type | conferenceObject | |
dc.identifier.urn | URN:NBN:fi:jyu-202408215602 | |
dc.contributor.laitos | Matematiikan ja tilastotieteen laitos | fi |
dc.contributor.laitos | Department of Mathematics and Statistics | en |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | |
dc.relation.isbn | 978-3-031-65992-8 | |
dc.type.coar | http://purl.org/coar/resource_type/c_5794 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 371-379 | |
dc.relation.issn | 2194-5357 | |
dc.type.version | acceptedVersion | |
dc.rights.copyright | © 2024 the Authors | |
dc.rights.accesslevel | embargoedAccess | fi |
dc.relation.conference | International Conference on Soft Methods in Probability and Statistics | |
dc.subject.yso | mallintaminen | |
dc.subject.yso | tilastomenetelmät | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p3533 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p3127 | |
dc.rights.url | http://rightsstatements.org/page/InC/1.0/?language=en | |
dc.relation.doi | 10.1007/978-3-031-65993-5_46 | |
jyx.fundinginformation | The work of Una Radojičić is supported by the Austrian Science Foundation, project number I 5799-N. | |
dc.type.okm | A4 | |