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A Bayesian interpretation of the multivariate skew-normal distribution

Statistics & Probability Letters, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
LISEO, Brunero, LOPERFIDO N.
openaire   +4 more sources

Skew-Normal Distribution

2011
An introductory account of the skew-normal ...
openaire   +2 more sources

The Skew-Normal Distribution on the Simplex

Communications in Statistics - Theory and Methods, 2007
Density functions on the simplex defined with respect to the Lebesgue measure can change from unimodality to multimodality with perturbation. This phenomenon is induced by the incompatibility of the Aitchison geometry and the Lebesgue measure. A Lebesgue-type measure, compatible with the algebraic geometric structure of the simplex, is used here to ...
Glòria Mateu-Figueras   +1 more
openaire   +1 more source

A doubly skewed normal distribution

Statistics, 2014
We consider a distribution obtained by combining two well-known mechanisms for generating skewed distributions. In this manner we arrive at a flexible model which subsumes and extends several skew distributions which have been discussed in the literature.
Barry C. Arnold   +2 more
openaire   +1 more source

The Skew-normal Distribution and Related Multivariate Families*

Scandinavian Journal of Statistics, 2005
If \(f_0\) is a \(d\)-dimensional density with \(f_0(x)=f_0(-x)\), \(G\) is a one-dimensional CDF with symmetric about 0 PDF and \(w: R^d\to R\) is any function with \(w(-x)=-w(x)\), then \(f(z)=2f_0(z)G(w(z))\) is a density function on \(R^d\). With \(f_0\sim N(0,\Omega)\), \(G\sim N(0,1)\), and a linear function \(w\) one obtains \(f\) being a skew ...
openaire   +2 more sources

Harris skewed normal distribution

Communications in Statistics - Theory and Methods, 2022
Noriah Al-Kandari   +2 more
openaire   +1 more source

Directed Mutation by Means of the Skew-Normal Distribution

2006
Directed mutation can improve the efficiency of processing many optimization problems. The directed mutation operator presented in this paper is based on the Skew-Normal Distribution. It is the first one that is not defined by case differentiation. Its expectation as well as its variance are convergent for all degrees of skewness and random number ...
openaire   +2 more sources

Skew-normal family of distributions

2006
An introductory account of the skew-normal distribution in the univariate and in the multivariate ...
openaire   +1 more source

Multivariate mixture modeling using skew-normal independent distributions

Computational Statistics and Data Analysis, 2012
Celso Rômulo Barbosa Cabral   +2 more
exaly  

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