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Wang, Haonan; Marron, J. S.

Object oriented data analysis: sets of trees. (English) Zbl 1126.62002

Ann. Stat. 35, No. 5, 1849-1873 (2007).
Summary: Object 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 components 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.

Cited in 56 Documents

MSC:

62A01 Foundations and philosophical topics in statistics
62P10 Applications of statistics to biology and medical sciences; meta analysis
62H05 Characterization and structure theory for multivariate probability distributions; copulas
62H99 Multivariate analysis
62G99 Nonparametric inference

Keywords:

functional data analysis; nonlinear data space; population of tree-structured objects; principal component analysis; blood vessel data

Software:

fda (R)
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Full Text: DOI arXiv Euclid

References:

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