The correlation space of Gaussian latent tree models and model selection without fitting

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• dc.contributor.author Shiers, Nathaniel
• dc.contributor.author Zwiernik, Piotr
• dc.contributor.author Aston, John
• dc.contributor.author Smith, Jim
• dc.date.accessioned 2025-01-14T08:18:09Z
• dc.date.available 2025-01-14T08:18:09Z
• dc.date.issued 2016
• dc.description.abstract We provide a complete description of possible distributions consistent with any Gaussian latent tree model. This description consists of polynomial equations and inequalities involving covariances between the observed variables. Testing inequality constraints can be done using the inverse Wishart distribution and this leads to simple preliminary assessment of tree-compatibility. To test equality constraints we employ general techniques of tetrad analyses. This approach is effective even for small sample sizes and can be easily adjusted to test either entire models or just particular macrostructures of a tree. Our methods are simple to implement and do not require fitting of the model. The versatility of the techniques is illustrated by performing exploratory and confirmatory tetrad analyses in linguistic and biological settings respectively.en
• dc.format.mimetype application/pdf
• dc.identifier.citation Shiers N, Zwiernik P, Aston JAD, Smith JQ. The correlation space of Gaussian latent tree models and model selection without fitting. Biometrika. 2016 Sep;103(3):531-45. DOI: 10.1093/biomet/asw032
• dc.identifier.doi http://dx.doi.org/10.1093/biomet/asw032
• dc.identifier.issn 1464-3510
• dc.identifier.uri http://hdl.handle.net/10230/69101
• dc.language.iso eng
• dc.publisher Oxford University Press
• dc.relation.ispartof Biometrika. 2016 Sep;103(3):531-45
• dc.rights © 2016 Biometrika Trust. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Gaussian distributionen
• dc.subject.keyword Tetrad analysisen
• dc.subject.keyword Tree constrainten
• dc.subject.keyword Tree quarteten
• dc.subject.keyword Latent tree modelen
• dc.title The correlation space of Gaussian latent tree models and model selection without fitting
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion