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  2. Category:Compound probability distributions - Wikipedia

    en.wikipedia.org/wiki/Category:Compound...

    Print/export Download as PDF; Printable version; ... Pages in category "Compound probability distributions" The following 23 pages are in this category, out of 23 ...

  3. Compound probability distribution - Wikipedia

    en.wikipedia.org/wiki/Compound_probability...

    In probability and statistics, a compound probability distribution (also known as a mixture distribution or contagious distribution) is the probability distribution that results from assuming that a random variable is distributed according to some parametrized distribution, with (some of) the parameters of that distribution themselves being random variables.

  4. Template:Probability fundamentals - Wikipedia

    en.wikipedia.org/wiki/Template:Probability...

    Template: Probability fundamentals. 16 languages. ... Print/export Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide

  5. Category:Probability problems - Wikipedia

    en.wikipedia.org/wiki/Category:Probability_problems

    Print/export Download as PDF; Printable version; ... Appearance. move to sidebar hide. Help. Pages in category "Probability problems" The following 31 pages are in ...

  6. Dirichlet-multinomial distribution - Wikipedia

    en.wikipedia.org/wiki/Dirichlet-multinomial...

    The Dirichlet distribution is a conjugate distribution to the multinomial distribution. This fact leads to an analytically tractable compound distribution.For a random vector of category counts = (, …,), distributed according to a multinomial distribution, the marginal distribution is obtained by integrating on the distribution for p which can be thought of as a random vector following a ...

  7. Mixture distribution - Wikipedia

    en.wikipedia.org/wiki/Mixture_distribution

    In probability and statistics, a mixture distribution is the probability distribution of a random variable that is derived from a collection of other random variables as follows: first, a random variable is selected by chance from the collection according to given probabilities of selection, and then the value of the selected random variable is realized.

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