This video provides an introduction to the gamma distribution: describing it mathematically, discussing example situations which can be modelled using a gamma in Bayesian inference, then going on to discuss how its two parameters affect the shape of the distribution intuitively, and finally ending with a derivation of the mean of the distribution.

If you are interested in seeing more of the material, arranged into a playlist, please visit:    • Bayesian statistics: a comprehensive ...   Unfortunately, Ox Educ is no more. Don't fret however as a whole load of new youtube videos are coming soon, along with a book that accompanies the series: https://www.amazon.co.uk/gp/product/1... Alternatively, for more information on this video series and Bayesian inference in general, visit: https://ben-lambert.com/bayesian-lect... For more information on econometrics and Bayesian statistics, see: https://ben-lambert.com/