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An alternative model for multivariate stable distributions [PDF]
, 2009 Includes bibliographical references (leaves 52-55).As the title, "An Alternative Model for Multivariate Stable Distributions", depicts, this thesis draws from the methodology of [J36] and derives an alternative to the sub-Gaussian alpha-stable ...
Jama, Siphamandla
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New bivariate and multivariate log-normal distributions as models for insurance data
Results in Applied Mathematics, 2022 The body of most multivariate financial data sets can be well modeled by log-normal distributions. Yet not many multivariate log-normal distributions are available in the literature.
Saralees Nadarajah, Jiahang Lyu
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Multivariate Birnbaum-Saunders Distributions: Modelling and Applications
Risks, 2018 Since its origins and numerous applications in material science, the Birnbaum–Saunders family of distributions has now found widespread uses in some areas of the applied sciences such as agriculture, environment and medicine, as well as in quality ...
Robert G. Aykroyd +2 more
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Estimating Differential Entropy using Recursive Copula Splitting
Entropy, 2020 A method for estimating the Shannon differential entropy of multidimensional random variables using independent samples is described. The method is based on decomposing the distribution into a product of marginal distributions and joint dependency, also ...
Gil Ariel, Yoram Louzoun
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An Information-Theoretic Approach for Multivariate Skew-t Distributions and Applications
Mathematics, 2021 Shannon and Rényi entropies are two important measures of uncertainty for data analysis. These entropies have been studied for multivariate Student-t and skew-normal distributions.
Salah H. Abid +2 more
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Estimating Multivariate Discrete Distributions Using Bernstein Copulas
Entropy, 2018 Measuring the dependence between random variables is one of the most fundamental problems in statistics, and therefore, determining the joint distribution of the relevant variables is crucial.
Victor Fossaluza +2 more
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Entropy-Regularized Optimal Transport on Multivariate Normal and q-normal Distributions
Entropy, 2021 The distance and divergence of the probability measures play a central role in statistics, machine learning, and many other related fields. The Wasserstein distance has received much attention in recent years because of its distinctions from other ...
Qijun Tong, Kei Kobayashi
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Change detection in multisensor SAR images using bivariate gamma distributions [PDF]
, 2008 This paper studies a family of distributions constructed from multivariate gamma distributions to model the statistical properties of multisensor synthetic aperture radar (SAR) images.
Chatelain, Florent +2 more
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Computing Probabilities of Finding Extremes in a Random Set
MathematicsThis study examines the occurrence of extreme points in random samples of size n obtained by mapping uniformly distributed random variables through a function into a multidimensional space.
Gheorghiţă Zbăganu +2 more
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, 1975 The third issue of the Journal of Multivariate Experimental Personality and Clinical Psychology edited by G.R. Pierson. Editorial policy board: R.B. Cattell, H.J. Eysenck, J.P. Guilford and P.E.
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