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2. 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.

3. Template:Probability fundamentals - Wikipedia

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

   Part of a series on statistics: Probability theory; Probability. Axioms; Determinism. System; Indeterminism; Randomness; Probability space; Sample space; Event ...

4. Template:Probability distributions - Wikipedia

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

   Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

5. Mixture distribution - Wikipedia

   en.wikipedia.org/wiki/Mixture_distribution

   That is, for each value of a in some set A, p(x;a) is a probability density function with respect to x. Given a probability density function w (meaning that w is nonnegative and integrates to 1), the function = (;) is again a probability density function for x. A similar integral can be written for the cumulative distribution function.

6. Event (probability theory) - Wikipedia

   en.wikipedia.org/wiki/Event_(probability_theory)

   An event, however, is any subset of the sample space, including any singleton set (an elementary event), the empty set (an impossible event, with probability zero) and the sample space itself (a certain event, with probability one). Other events are proper subsets of the sample space that contain multiple elements. So, for example, potential ...

7. 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 ...