Add to ORKGIn this extended abstract we define a class of distributions which we shall refer to as multivariate matrix–exponential distributions (MVME). They are defined in a natural way, inspired by the definition of univariate matrix– exponential distributions, as the distributions on Rn+ having a rational (mul
AbstractThe Moore–Penrose inverse of a singular or nonsquare matrix is not only existent but also un...
AbstractThe noncentral distributions of Y = Πi=1p θia(1 − θi)b are obtained, where a and b are known...
In this thesis, Kanter's representation of multivariate unimodal distributions is shown equivalent t...
We review what is currently known about one-dimensional distributions on the non-negative reals with...
AbstractWe define multivariate Meixner classes of invariant distributions of random matrices as thos...
We briefly summarize the definitions of univariate and multivariate normal distributions, along with...
The thesis deals with the basic discrete and continuous multivariate distributions, which play an im...
AbstractThe class of multivariate normal densities n(0, Σ) whose inverse covariance matrix Σ)−1 is a...
AbstractA general real matrix-variate probability model is introduced here, which covers almost all ...
We define a multivariate negative binomial distribution (MVNB) as a bivariate Poisson distribution f...
The class of matrix-exponential distributions can be equivalently defined as the class of all distri...
This book contains an in-depth treatment of matrix-exponential (ME) distributions and their sub-clas...
Title: Multivariate Normal Distribution Author: Jakub Ježo Department: Department of Probability and...
The multivariate distribution of a set of random variables has exponential minimums if the minimum o...
We introduce a class of multivariate dispersion models suitable as error distributions for generaliz...
AbstractThe Moore–Penrose inverse of a singular or nonsquare matrix is not only existent but also un...
AbstractThe noncentral distributions of Y = Πi=1p θia(1 − θi)b are obtained, where a and b are known...
In this thesis, Kanter's representation of multivariate unimodal distributions is shown equivalent t...
We review what is currently known about one-dimensional distributions on the non-negative reals with...
AbstractWe define multivariate Meixner classes of invariant distributions of random matrices as thos...
We briefly summarize the definitions of univariate and multivariate normal distributions, along with...
The thesis deals with the basic discrete and continuous multivariate distributions, which play an im...
AbstractThe class of multivariate normal densities n(0, Σ) whose inverse covariance matrix Σ)−1 is a...
AbstractA general real matrix-variate probability model is introduced here, which covers almost all ...
We define a multivariate negative binomial distribution (MVNB) as a bivariate Poisson distribution f...
The class of matrix-exponential distributions can be equivalently defined as the class of all distri...
This book contains an in-depth treatment of matrix-exponential (ME) distributions and their sub-clas...
Title: Multivariate Normal Distribution Author: Jakub Ježo Department: Department of Probability and...
The multivariate distribution of a set of random variables has exponential minimums if the minimum o...
We introduce a class of multivariate dispersion models suitable as error distributions for generaliz...
AbstractThe Moore–Penrose inverse of a singular or nonsquare matrix is not only existent but also un...
AbstractThe noncentral distributions of Y = Πi=1p θia(1 − θi)b are obtained, where a and b are known...
In this thesis, Kanter's representation of multivariate unimodal distributions is shown equivalent t...