Let M be a random symmetric real p-matrix of Wishart distribution with k degrees of freedom and scale parameter Σ. The distribution of M can usually be characterized by the distribution of , for any Σ-orthogonal basis of . We propose to weaken this characterization, showing that, when , it is sufficient to know the distribution of .
Soit M une p-matrice aléatoire réelle symétrique de loi de Wishart à k degrés de liberté et de paramètre d'échelle Σ. On peut caractériser la loi de M par la loi de , pour toute base Σ-orthogonale de . Nous proposons une caractérisation plus faible de la loi de M, montrant que, si , il suffit de connaître la loi de .
Accepted:
Published online:
Gabriel Fraisse 1; Sylvie Viguier-Pla 1, 2
@article{CRMATH_2016__354_6_623_0,
author = {Gabriel Fraisse and Sylvie Viguier-Pla},
title = {A weak characterization of real {Wishart} matrices by quadratic forms},
journal = {Comptes Rendus. Math\'ematique},
pages = {623--627},
year = {2016},
publisher = {Elsevier},
volume = {354},
number = {6},
doi = {10.1016/j.crma.2016.03.011},
language = {en},
}
Gabriel Fraisse; Sylvie Viguier-Pla. A weak characterization of real Wishart matrices by quadratic forms. Comptes Rendus. Mathématique, Volume 354 (2016) no. 6, pp. 623-627. doi: 10.1016/j.crma.2016.03.011
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