AbstractD. Foata and D. Zeilberger (1988, SIAM J. Discrete Math.4, 425–433) and D. Vere-Jones (1988, Linear Algebra Appl.111, 119–124) independently derived a generalization of MacMahon's master theorem. In this article we apply their result to obtain an explicit formula for the moments of arbitrary polynomials in the entries of X, a real random matrix having a Wishart distribution. In the case of the complex Wishart distributions, the same method is applicable. Furthermore, we apply the representation theory of GL(d,C), the complex general linear group, to derive explicit formulas for the expectation of Kronecker products of any complex Wishart random matrix
AbstractLet V = (vij) denote the k × k symmetric scatter matrix following the Wishart distribution W...
This paper generalizes an identity for the Wishart distribution (derived independently by C. Stein a...
AbstractGiven a random rectangular m × n matrix with elements from a normal distribution, what is th...
AbstractD. Foata and D. Zeilberger (1988, SIAM J. Discrete Math.4, 425–433) and D. Vere-Jones (1988,...
© 2018 Now Publishers Inc. All rights reserved. These lecture notes provide a comprehensive, self-co...
This note reports partial results related to the Gaussian product inequality (GPI) conjecture for th...
Motivated by recent results in random matrix theory we will study the distributions arising from pro...
In a recent paper Sharma and Krishnamoorthy (1984) used a complicated decisiontheoretic argument to ...
AbstractWe summarize the main results known for the complex normal and complex Wishart, then give th...
AbstractLet Sp×p have a Wishart distribution with unknown matrix Σ and k degrees of freedom. For a m...
Generalised uncorrelated Wishart matrices are formed out of rectangular standard Gaussian data matri...
AbstractAlthough distribution theory dates back over a century, the distributions derived were essen...
By using a symbolic method, known in the literature as the classical umbral calculus, the trace of a...
AbstractThis paper establishes a link between a generalized matrix Matsumoto–Yor (MY) property and t...
AbstractWhile the noncentral Wishart distribution is generally introduced as the distribution of the...
AbstractLet V = (vij) denote the k × k symmetric scatter matrix following the Wishart distribution W...
This paper generalizes an identity for the Wishart distribution (derived independently by C. Stein a...
AbstractGiven a random rectangular m × n matrix with elements from a normal distribution, what is th...
AbstractD. Foata and D. Zeilberger (1988, SIAM J. Discrete Math.4, 425–433) and D. Vere-Jones (1988,...
© 2018 Now Publishers Inc. All rights reserved. These lecture notes provide a comprehensive, self-co...
This note reports partial results related to the Gaussian product inequality (GPI) conjecture for th...
Motivated by recent results in random matrix theory we will study the distributions arising from pro...
In a recent paper Sharma and Krishnamoorthy (1984) used a complicated decisiontheoretic argument to ...
AbstractWe summarize the main results known for the complex normal and complex Wishart, then give th...
AbstractLet Sp×p have a Wishart distribution with unknown matrix Σ and k degrees of freedom. For a m...
Generalised uncorrelated Wishart matrices are formed out of rectangular standard Gaussian data matri...
AbstractAlthough distribution theory dates back over a century, the distributions derived were essen...
By using a symbolic method, known in the literature as the classical umbral calculus, the trace of a...
AbstractThis paper establishes a link between a generalized matrix Matsumoto–Yor (MY) property and t...
AbstractWhile the noncentral Wishart distribution is generally introduced as the distribution of the...
AbstractLet V = (vij) denote the k × k symmetric scatter matrix following the Wishart distribution W...
This paper generalizes an identity for the Wishart distribution (derived independently by C. Stein a...
AbstractGiven a random rectangular m × n matrix with elements from a normal distribution, what is th...