We give formulas for the conditional expectations of a product of multivariate Hermite polynomials with multivariate normal arguments. These results are extended to include conditional expectations of a product of linear combination of multivariate normals. A unified approach is given that covers both Hermite and modified Hermite polynomials, as well as polynomials associated with a matrix whose eigenvalues may be both positive and negative.Conditional expectation Multivariate Hermite polynomials Multivariate normal
AbstractThe main aim of this paper is to solve the functional equations ∑i=1kCαihi(ti)+∑j=1rBαjgi∑i=...
A multivariate t vector X is represented in two different forms, one associated with a normal vector...
AbstractThe purpose of this paper is to establish some additional properties of the normal convex in...
AbstractWe give formulas for the conditional expectations of a product of multivariate Hermite polyn...
Mehler gave an expansion for the standard bivariate normal density. Kibble extended it to a multivar...
AbstractThis paper is concerned with the Hermite polynomials in symmetric and rectangular matrix arg...
AbstractUsing relatively recent results from multivariate distribution theory, the expectation of a ...
A Taylor series approximation to multivariate integrals taken with respect to a multivariate probabi...
We show that the orthogonal projection operator onto the range of the adjoint T⁎ of a linear operato...
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Akemann G, Vernizzi G. Characteristic Polynomials of Complex Random Matrix Models. Nucl.Phys. B. 200...
AbstractWe are concerned with the generalized “noncentral” Hermite and Laguerre polynomials in multi...
AbstractWe construct and study orthogonal bases of generalized polynomials on the space of Hermitian...
AbstractThis paper defines and discusses the complex Hermite and Laguerre polynomials associated wit...
AbstractSubrahmaniam [1] records the expected values of certain zonal polynomials for the multivaria...
AbstractThe main aim of this paper is to solve the functional equations ∑i=1kCαihi(ti)+∑j=1rBαjgi∑i=...
A multivariate t vector X is represented in two different forms, one associated with a normal vector...
AbstractThe purpose of this paper is to establish some additional properties of the normal convex in...
AbstractWe give formulas for the conditional expectations of a product of multivariate Hermite polyn...
Mehler gave an expansion for the standard bivariate normal density. Kibble extended it to a multivar...
AbstractThis paper is concerned with the Hermite polynomials in symmetric and rectangular matrix arg...
AbstractUsing relatively recent results from multivariate distribution theory, the expectation of a ...
A Taylor series approximation to multivariate integrals taken with respect to a multivariate probabi...
We show that the orthogonal projection operator onto the range of the adjoint T⁎ of a linear operato...
AbstractWe investigate properties of the generalized Hermite [H(m)κ[r]; φ (X[q]; B[r])] and Laguerre...
Akemann G, Vernizzi G. Characteristic Polynomials of Complex Random Matrix Models. Nucl.Phys. B. 200...
AbstractWe are concerned with the generalized “noncentral” Hermite and Laguerre polynomials in multi...
AbstractWe construct and study orthogonal bases of generalized polynomials on the space of Hermitian...
AbstractThis paper defines and discusses the complex Hermite and Laguerre polynomials associated wit...
AbstractSubrahmaniam [1] records the expected values of certain zonal polynomials for the multivaria...
AbstractThe main aim of this paper is to solve the functional equations ∑i=1kCαihi(ti)+∑j=1rBαjgi∑i=...
A multivariate t vector X is represented in two different forms, one associated with a normal vector...
AbstractThe purpose of this paper is to establish some additional properties of the normal convex in...