Inference for eigenvalues and eigenvectors in exponential families of random symmetric matrices

DOI10.1016/j.jmva.2017.08.006zbMath1403.62127OpenAlexW2589507418WikidataQ57423937 ScholiaQ57423937MaRDI QIDQ1679571

Armin Schwartzman, Han Na Lee

Publication date: 9 November 2017

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: http://www.lib.ncsu.edu/resolver/1840.16/11410

zbMATH Keywords

symmetric positive definite matricesWishart distributionstatistics on manifoldsdiffusion tensor imaging (DTI)matrix-variate Gamma distribution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Image analysis in multivariate analysis (62H35)

Related Items (3)

A spatial Bayesian semiparametric mixture model for positive definite matrices with applications in diffusion tensor imaging ⋮ Geostatistical modeling of positive‐definite matrices: An application to diffusion tensor imaging ⋮ Integral transform methods in goodness-of-fit testing. II: The Wishart distributions

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• Latent vectors of random symmetric matrices
• A GENERAL DISTRIBUTION THEORY FOR A CLASS OF LIKELIHOOD CRITERIA

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