Let Sp-p have a Wishart distribution with unknown matrix [Sigma] and k degrees of freedom. For a matrix T(S) and a scalar h(S), an identity is obtained for E[summation operator]tr[h(S)T[summation operator]-1]. Two applications are given. The first provides product moments and related formulae for the Wishart distribution. Higher moments involving S can be generated recursively. The second application concerns good estimators of [summation operator] and [summation operator]-1. In particular, identities for several risk functions are obtained, and estimators of [summation operator] ([summation operator]-1) are described which dominate aS(bS-1), aWishart and inverted moments estimation of covariance matrix and its inverse Stoke's theorem gener...
AbstractWhile the noncentral Wishart distribution is generally introduced as the distribution of the...
This article provides a comprehensive, rigorous, and self-contained introduction to the analysis of ...
Multivariate statistical analysis is the area of statistics that is concerned with observations made...
AbstractLet Sp×p have a Wishart distribution with unknown matrix Σ and k degrees of freedom. For a m...
The inverse of the standard estimate of covariance matrix is frequently used in the portfolio theory...
AbstractD. Foata and D. Zeilberger (1988, SIAM J. Discrete Math.4, 425–433) and D. Vere-Jones (1988,...
AbstractTraces of Wishart matrices appear in many applications, for example in finance, discriminant...
This paper generalizes an identity for the Wishart distribution (derived independently by C. Stein a...
AbstractIn this article, the Stein–Haff identity is established for a singular Wishart distribution ...
This thesis consists of two papers which take a critical look on functions of an inverse Wishart mat...
The paper discusses the moments of Wishart matrices, in both the central and noncentral cases. The f...
We derive the first and the second moments of the Moore- Penrose generalized inverse of a singular s...
This paper generalizes an identity for the Wishart distribution (derived independently by C. Stein a...
Let V = (vij) denote the k - k symmetric scatter matrix following the Wishart distribution W(k, n, [...
AbstractLet V = (vij) denote the k × k symmetric scatter matrix following the Wishart distribution W...
AbstractWhile the noncentral Wishart distribution is generally introduced as the distribution of the...
This article provides a comprehensive, rigorous, and self-contained introduction to the analysis of ...
Multivariate statistical analysis is the area of statistics that is concerned with observations made...
AbstractLet Sp×p have a Wishart distribution with unknown matrix Σ and k degrees of freedom. For a m...
The inverse of the standard estimate of covariance matrix is frequently used in the portfolio theory...
AbstractD. Foata and D. Zeilberger (1988, SIAM J. Discrete Math.4, 425–433) and D. Vere-Jones (1988,...
AbstractTraces of Wishart matrices appear in many applications, for example in finance, discriminant...
This paper generalizes an identity for the Wishart distribution (derived independently by C. Stein a...
AbstractIn this article, the Stein–Haff identity is established for a singular Wishart distribution ...
This thesis consists of two papers which take a critical look on functions of an inverse Wishart mat...
The paper discusses the moments of Wishart matrices, in both the central and noncentral cases. The f...
We derive the first and the second moments of the Moore- Penrose generalized inverse of a singular s...
This paper generalizes an identity for the Wishart distribution (derived independently by C. Stein a...
Let V = (vij) denote the k - k symmetric scatter matrix following the Wishart distribution W(k, n, [...
AbstractLet V = (vij) denote the k × k symmetric scatter matrix following the Wishart distribution W...
AbstractWhile the noncentral Wishart distribution is generally introduced as the distribution of the...
This article provides a comprehensive, rigorous, and self-contained introduction to the analysis of ...
Multivariate statistical analysis is the area of statistics that is concerned with observations made...