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...to distribution]].<ref name=CMD1>{{cite book|title=Continuous Multivariate Distributions|volume=1|edition=second|author1=S. Kotz |author2=N. Balakrishnan |author3=N ...ublishing House |isbn=0-89974-012-X}} Chapter 3.</ref> Multivariate Pareto distributions have been defined for many of these types. ...

...inuous [[probability distribution]]s. It is the [[conjugate prior]] of a [[multivariate normal distribution]] with unknown [[mean]] and [[precision matrix]] (the i has a [[multivariate normal distribution]] with [[mean]] <math>\boldsymbol\mu_0</math> and [[cov ...

*<math>\Gamma_p</math> is the [[multivariate gamma function]].| ...ilarly, e.g. as the [[conjugate prior]] of the [[precision matrix]] of a [[multivariate normal distribution]] and [[matrix normal distribution]]. The [[compound d ...

*<math>\Gamma_p</math> is the [[multivariate gamma function]].| ...larly, e.g. as the [[conjugate prior]] of the [[covariance matrix]] of a [[multivariate normal distribution]] or [[matrix normal distribution]]. The [[compound di ...

{{Short description|Multivariate parameter family of continuous probability distributions}} ...inuous [[probability distribution]]s. It is the [[conjugate prior]] of a [[multivariate normal distribution]] with unknown [[mean]] and [[covariance matrix]] (the ...

...n: A new tool for incomplete categorical data analysis| journal=Journal of Multivariate Analysis| year=2008| volume=99| pages=490–509}}</ref> The Grouped Dirichlet ...\mathbf{a}\right)</math> is the [[beta function#Multivariate beta function|Multivariate beta function]]. ...

...ially when the [[likelihood]] is not from the [[location-scale family]] of distributions such as [[normal distribution]]. ==Related distributions== ...

...mmetric multivariate Laplace distribution variables are asymmetric Laplace distributions.<ref name=kotz>{{cite book|title=The Laplace Distribution and Generalizatio ==Symmetric multivariate Laplace distribution== ...

...distribution''', named after the [[physicist]] [[Anthony Moffat]], is a [[continuous probability distribution]] based upon the [[Cauchy distribution|Lorentzian == Relation to other distributions == ...

{{Short description|Continuous probability distribution}} ...al |last1=Epanechnikov |first1=V. A. |title=Non-Parametric Estimation of a Multivariate Probability Density |journal=Theory of Probability & Its Applications |date ...

...math> x = \mu \; \textrm{(univariate)}, x = \boldsymbol{\mu} \; \textrm{(multivariate)} </math> <br /> ...xtrm{(univariate)}, \sigma^2 = \frac{\beta}{\alpha + 1 + k/2} \; \textrm{(multivariate)} </math>| ...

| type = continuous ...1= Marshall|first2= Ingram|last2= Olkin|author2-link=Ingram Olkin| title=A multivariate exponential distribution|journal=[[Journal of the American Statistical Asso ...

{{short description|Continuous probability distribution}} ...e [[vine copula]], an approach to constrained high-dimensional probability distributions. ...

{{Short description|Multivariate continuous probability distribution }} *<math>\Gamma_p</math> is the [[multivariate gamma function]] ...

<math>X=\mathbb{R}^n</math> coincides with the [[Multivariate normal distribution|classical]] one. The support of <math id="1">\varphi(y) </math> is a continuous nonnegative function on <math>Y</math> satisfying ...

*<math>\mathcal{C}\Gamma_p</math> is the complex [[multivariate gamma function]] ...Distribution and its Application to Spectral Estimation|journal=Journal of Multivariate Analysis|volume=10|pages=51–59|doi=10.1016/0047-259X(80)90081-0 |doi-access ...

| name = multivariate stable | type = multivariate ...

In [[statistics]], the '''inverted Dirichlet distribution''' is a multivariate generalization of the [[beta prime distribution]], and is related to the [[ ...in [[statistical regression]] and arises naturally when considering the [[multivariate Student distribution]]. It can be characterized<ref name="ghorbel2010">{{c ...

| name = Continuous Bernoulli distribution | pdf_image = [[File:CB pdf.png|325px|Probability density function of the continuous Bernoulli distribution]] ...

...r continuous probability distribution.png|thumb|Symmetric distribution for continuous probability distribution, specifically standard normal distribution, showca ...urrences—which is unchanged when its [[probability density function]] (for continuous probability distribution) or [[probability mass function]] (for discrete ra ...