Object oriented data analysis: Sets of trees

dc.creatorWang, Haonan
dc.creatorMarron, J. S.
dc.date2007-11-20
dc.date.accessioned2026-07-07T08:49:26Z
dc.date.available2026-07-07T08:49:26Z
dc.descriptionObject oriented data analysis is the statistical analysis of populations of complex objects. In the special case of functional data analysis, these data objects are curves, where standard Euclidean approaches, such as principal component analysis, have been very successful. Recent developments in medical image analysis motivate the statistical analysis of populations of more complex data objects which are elements of mildly non-Euclidean spaces, such as Lie groups and symmetric spaces, or of strongly non-Euclidean spaces, such as spaces of tree-structured data objects. These new contexts for object oriented data analysis create several potentially large new interfaces between mathematics and statistics. This point is illustrated through the careful development of a novel mathematical framework for statistical analysis of populations of tree-structured objects.
dc.descriptionPublished in at http://dx.doi.org/10.1214/009053607000000217 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0711.3147
dc.identifierhttp://arxiv.org/abs/0711.3147
dc.identifierAnnals of Statistics 2007, Vol. 35, No. 5, 1849-1873
dc.identifierdoi:10.1214/009053607000000217
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/144295
dc.subjectStatistics Theory
dc.subject62H99 (Primary); 62G99 (Secondary)
dc.titleObject oriented data analysis: Sets of trees
dc.typetext

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