Results 171 to 180 of about 2,765,689 (216)
Laplace approximations for hypergeometric functions with Hermitian matrix argument
Ronald W. Butler, Andrew T.A. Wood
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Bayesian Detectors for Wideband Radar Target With Range Walking in Compound Gaussian Clutter
IEEE Transactions on Aerospace and Electronic Systems, 2023In this article, the problem of the wideband radar target detection with the range walking in compound Gaussian clutter without the secondary data is addressed.
Ling Hong, Fengzhou Dai, Bo Zhang
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Representation computation for the hypergeometric function of a Hermitian matrix argument
Journal of Computational and Applied MathematicsDuong Thanh Phong
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The Multivariate Normal Distribution, 1999
PRELIMINARIES Matrix Algebra Jacobians of Transformations Integration Zonal Polynomials Hypergeometric Functions of Matrix Argument LaGuerre Polynomials Generalized Hermite Polynomials Notion of Random Matrix Problems MATRIX VARIATE NORMAL DISTRIBUTION ...
A. Rukhin
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PRELIMINARIES Matrix Algebra Jacobians of Transformations Integration Zonal Polynomials Hypergeometric Functions of Matrix Argument LaGuerre Polynomials Generalized Hermite Polynomials Notion of Random Matrix Problems MATRIX VARIATE NORMAL DISTRIBUTION ...
A. Rukhin
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Risk Measures: A Generalization from the Univariate to the Matrix-variate
Journal of Risk, 2019This paper develops a method for estimating value-at-risk and conditional value-at-risk when the underlying risk factors follow a beta distribution in a univariate and a matrix-variate setting.
M. Arias-Serna+2 more
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, 1999
James(1960) defined the zonal polynomials and used it to represent the joint distributions of latent roots of VVisfiart matrix. The zonal polviionnals played an important role to define the generalized hypergeometric function of symmetric matrix argument
T. Sugiyama, Masafumi Fukuda, Y. Takeda
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James(1960) defined the zonal polynomials and used it to represent the joint distributions of latent roots of VVisfiart matrix. The zonal polviionnals played an important role to define the generalized hypergeometric function of symmetric matrix argument
T. Sugiyama, Masafumi Fukuda, Y. Takeda
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Unifying analysis of ergodic MIMO capacity in correlated Rayleigh fading environments
Transactions on Emerging Telecommunications Technologies, 2005We present a novel mathematical approach that for the first time allows for calculating the moment generating function (MGF) of mutual information of Rayleigh fading MIMO channels with arbitrary fading correlation at transmitter and receiver ...
M. Kießling
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Distributions of the Extreme Eigenvaluesof Beta-Jacobi Random Matrices
SIAM Journal on Matrix Analysis and Applications, 2008We present explicit formulas for the distributions of the extreme eigenvalues of the $\beta$-Jacobi random matrix ensemble in terms of the hypergeometric function of a matrix argument.
Ioana Dumitriu, Plamen Koev
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Derived PDF of maximum likelihood signal estimator which employs an estimated noise covariance
IEEE Transactions on Signal Processing, 1996A probability density function (PDF) for the maximum likelihood (ML) signal vector estimator is derived when the estimator relies on a noise sample covariance matrix (SCM) for evaluation.
C. Richmond
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On the asymptotic non-null distributions of the LR criterion in a general manova
, 1974In this paper we give a unified derivation of asymptotic expansions of the non-null distributions of the likelihood ratio (= LR) criterion in a general MANOVA, when the matrix Ω of noncentrality parameters is 0(1) and Ω = 0(N), respectively, where N ...
Y. Fujikoshi
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