AbstractWe 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
AbstractHerman Chernoff used Hermite polynomials to prove an inequality for the normal distribution....
AbstractThe general differential equation that governs the orthant probabilities of the equicorrelat...
AbstractShanbag gave a characterization of the exponential and geometric distribution in terms of co...
We give formulas for the conditional expectations of a product of multivariate Hermite polynomials w...
We prove a formula for the evaluation of expectations containing a scalar function of a Gaussian ran...
The concept of conditional expectation is important in applications of probability and statistics in...
AbstractUsing relatively recent results from multivariate distribution theory, the expectation of a ...
AbstractIn this paper, an extension of the Hermite matrix polynomials is introduced. Some relevant m...
AbstractLet FX,Y(x,y) be a bivariate distribution function and Pn(x), Qm(y), n, m = 0, 1, 2,…, the o...
We present new and streamlined proofs of various formulas for products and ratios of characteristic ...
AbstractStyan [G.P.H. Styan, Hadamard products and multivariate statistical analysis. Linear Algebra...
AbstractA characterization of the matrix variate normal distribution having identically distributed ...
AbstractIn this paper, it is shown that two random matrices have a joint matrix variate normal distr...
summary:In this paper the definition of Hermite-Hermite matrix polynomials is introduced starting fr...
AbstractIt is shown that the conditional probability density function of Y1 given (1n) Σi=1n Yi=1Yit...
AbstractHerman Chernoff used Hermite polynomials to prove an inequality for the normal distribution....
AbstractThe general differential equation that governs the orthant probabilities of the equicorrelat...
AbstractShanbag gave a characterization of the exponential and geometric distribution in terms of co...
We give formulas for the conditional expectations of a product of multivariate Hermite polynomials w...
We prove a formula for the evaluation of expectations containing a scalar function of a Gaussian ran...
The concept of conditional expectation is important in applications of probability and statistics in...
AbstractUsing relatively recent results from multivariate distribution theory, the expectation of a ...
AbstractIn this paper, an extension of the Hermite matrix polynomials is introduced. Some relevant m...
AbstractLet FX,Y(x,y) be a bivariate distribution function and Pn(x), Qm(y), n, m = 0, 1, 2,…, the o...
We present new and streamlined proofs of various formulas for products and ratios of characteristic ...
AbstractStyan [G.P.H. Styan, Hadamard products and multivariate statistical analysis. Linear Algebra...
AbstractA characterization of the matrix variate normal distribution having identically distributed ...
AbstractIn this paper, it is shown that two random matrices have a joint matrix variate normal distr...
summary:In this paper the definition of Hermite-Hermite matrix polynomials is introduced starting fr...
AbstractIt is shown that the conditional probability density function of Y1 given (1n) Σi=1n Yi=1Yit...
AbstractHerman Chernoff used Hermite polynomials to prove an inequality for the normal distribution....
AbstractThe general differential equation that governs the orthant probabilities of the equicorrelat...
AbstractShanbag gave a characterization of the exponential and geometric distribution in terms of co...