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2. Gamma distribution - Wikipedia

   en.wikipedia.org/wiki/Gamma_distribution

   In probability theory and statistics, the gamma distribution is a versatile two-parameter family of continuous probability distributions. [1] The exponential distribution, Erlang distribution, and chi-squared distribution are special cases of the gamma distribution. [2] There are two equivalent parameterizations in common use:

3. Matrix gamma distribution - Wikipedia

   en.wikipedia.org/wiki/Matrix_gamma_distribution

   In statistics, a matrix gamma distribution is a generalization of the gamma distribution to positive-definite matrices. [1] It is effectively a different parametrization of the Wishart distribution, and is used similarly, e.g. as the conjugate prior of the precision matrix of a multivariate normal distribution and matrix normal distribution.

4. Microsoft PowerPoint - Wikipedia

   en.wikipedia.org/wiki/Microsoft_PowerPoint

   In contemporary operation, PowerPoint is used to create a file (called a "presentation" or "deck") containing a sequence of pages (called "slides" in the app) which usually have a consistent style (from template masters), and which may contain information imported from other apps or created in PowerPoint, including text, bullet lists, tables ...

5. Generalized gamma distribution - Wikipedia

   en.wikipedia.org/wiki/Generalized_gamma_distribution

   The generalized gamma distribution is a continuous probability distribution with two shape parameters (and a scale parameter). It is a generalization of the gamma distribution which has one shape parameter (and a scale parameter).

6. Gamma process - Wikipedia

   en.wikipedia.org/wiki/Gamma_process

   Also known as the (Moran-)Gamma Process, [1] the gamma process is a random process studied in mathematics, statistics, probability theory, and stochastics. The gamma process is a stochastic or random process consisting of independently distributed gamma distributions where N ( t ) {\displaystyle N(t)} represents the number of event occurrences ...

7. Wishart distribution - Wikipedia

   en.wikipedia.org/wiki/Wishart_distribution

   In statistics, the Wishart distribution is a generalization of the gamma distribution to multiple dimensions. It is named in honor of John Wishart , who first formulated the distribution in 1928. [ 1 ]