%0 Journal Article %1 mccullagh2009marginal %A McCullagh, Peter %D 2009 %J Statist. Sinica %K Wishart_distribution covariance_matrix distance_matrices statistics %N 2 %P 631--649 %T Marginal likelihood for distance matrices %U http://www.stat.uchicago.edu/~pmcc/pubs/A06-225.pdf %V 19 %X A Wishart model is proposed for random distance matrices in which the components are correlated gamma random variables, all having the same degrees of freedom. The marginal likelihood is obtained in closed form. Its use is illustrated by multidimensional scaling, by rooted tree models for response covariances in social survey work, and unrooted trees for ancestral relationships in genetic applications.

@article{mccullagh2009marginal, abstract = {A Wishart model is proposed for random distance matrices in which the components are correlated gamma random variables, all having the same degrees of freedom. The marginal likelihood is obtained in closed form. Its use is illustrated by multidimensional scaling, by rooted tree models for response covariances in social survey work, and unrooted trees for ancestral relationships in genetic applications.}, added-at = {2014-12-09T22:53:24.000+0100}, author = {McCullagh, Peter}, biburl = {https://www.bibsonomy.org/bibtex/28814ce951b42c4c91677bd8f0ec34211/peter.ralph}, fjournal = {Statistica Sinica}, interhash = {a53bd397ca7d2fab8dd18b55546f5279}, intrahash = {8814ce951b42c4c91677bd8f0ec34211}, issn = {1017-0405}, journal = {Statist. Sinica}, keywords = {Wishart_distribution covariance_matrix distance_matrices statistics}, mrclass = {62J12 (62-09)}, mrnumber = {2514179 (2010e:62179)}, number = 2, pages = {631--649}, timestamp = {2014-12-09T22:53:24.000+0100}, title = {Marginal likelihood for distance matrices}, url = {http://www.stat.uchicago.edu/~pmcc/pubs/A06-225.pdf}, volume = 19, year = 2009 }