Abstract
Several distributions are studied, simultaneously in the real, complex, quaternion and octonion cases. Specifically, these are the central, nonsingular matricvariate and matrix multivariate T and beta type II distributions and the joint density of the singular values are obtained for real normed division algebras.
Similar content being viewed by others
References
Baez JC (2002) The octonions. Bull Am Math Soc 39: 145–205
Díaz-García JA, Gutiérrez-Jáimez R (2006) The distribution of the residual from a general elliptical multivariate linear regression model. J Multivar Anal 97: 1829–1841
Díaz-García JA, Gutiérrez-Jáimez R (2009a) Random matrix theory and multivariate statistics. http://arxiv.org/abs/0907.1064. Also submited
Díaz-García JA, Gutiérrez-Jáimez R (2009) Singular matric and matrix variate t distributions. J Stat Plan Inference 139: 2382–2387
Díaz-García JA, Gutiérrez-Jáimez R (2011) On Wishart distribution. Linear Algebra Appl. doi:10.1016/j.laa.2011.03.007
Díaz-García JA, Ramos-Quiroga R (2003) Generalised natural conjugate prior densities: singular multivariate linear model. Int Math J 3(12): 1279–1287
Dickey JM (1967) Matricvariate generalizations of the multivariate t-distribution and the inverted multivariate t-distribution. Ann Math Stat 38: 511–518
Edelman A, Rao RR (2005) Random matrix theory. Acta Numerica 14: 233–297
Fang KT, Zhang YT (1990) Generalized multivariate analysis. Science Press, Springer, Beijing
Forrester PJ (2009) Log-gases and random matrices. To appear. Available in: http://www.ms.unimelb.edu.au/~matpjf/matpjf.html
Goodall CR, Mardia KV (1993) Multivariate aspects of shape theory. Ann Stat 21: 848–866
Gross KI, Richards DP St P (1987) Special functions of matrix argument I: algebraic induction zonal polynomials and hypergeometric functions. Trans Am Math Soc 301(2): 475–501
Gupta AK, Nagar DK (2000) Matrix variate distributions. Chapman & Hall/CR, New York
Herz CS (1995) Bessel functions of matrix argument. Ann Math 61(3): 474–523
James AT (1964) Distribution of matrix variate and latent roots derived from normal samples. Ann Math Stat 35: 475–501
Kabe DG (1984) Classical statistical analysis based on a certain hypercomplex multivariate normal distribution. Metrika 31: 63–76
Khatri CG (1970) A note on Mitra’s paper “A density free approach to the matrix variate beta distribution”. Sankhyā A 32: 311–318
Kotz S, Nadarajah S (2004) Multivariate t distributions and their applications. Cambridge University Press, UK
Li F, Xue Y (2009) Zonal polynomials and hypergeometric functions of quaternion matrix argument. Commun Stat Theory Methods 38(8): 1184–1206
Mehta ML (1991) Random matrices, 2nd edn. Academic Press, Boston
Micheas AC, Dey DK, Mardia KV (2006) Complex elliptical distribution with application to shape theory. J Stat Plan Inference 136: 2961–2982
Muirhead RJ (1982) Aspects of multivariate statistical theory. Wiley, New York
Press SJ (1982) Applied multivariate analysis: using bayesian and frequentist methods of inference, 2nd edn. Robert E. Krieger Publishing Company, Malabar
Ratnarajah T, Vaillancourt R, Alvo A (2005) Complex random matrices and Rician channel capacity. Probl Inf Transm 41(1): 1–22
Srivastava SM, Khatri CG (1979) An introduction to multivariate statistics. North Holland, New York
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Díaz-García, J.A., Gutiérrez-Jáimez, R. Matricvariate and matrix multivariate T distributions and associated distributions. Metrika 75, 963–976 (2012). https://doi.org/10.1007/s00184-011-0362-8
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00184-011-0362-8