An introduction to the gamma distribution

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.
This video is part of a lecture course which closely follows the material covered in the book, "A Student's Guide to Bayesian Statistics", published by Sage, which is available to order on Amazon here: www.amazon.co.uk/Students-Gui...
For more information on all things Bayesian, have a look at: ben-lambert.com/bayesian/. The playlist for the lecture course is here: • A Student's Guide to B...

[@fatsquirrel75]

All these videos just in time for my finals. Thanks Ben, without you I'd have never passed these stats units.

[@ugogirlss]

Thanks for all the new videos! Cant wait to learn from them:)

[@pippalin8166]

My awful stats professor has never introduced it but always mentions it. This video helps! Thanks a lot

[@utkarshshukla7917]

Ben this is a beautiful video

[@binnypatel7061]

Thanks a lot !

[@junrancao3896]

Brilliant :)

[@harryobrien7312]

did you copy this video from ox educ

[@RealMcDudu]

he's the teacher in ox educ...

[@mangomilkshakelol]

In addition to that, he is the teacher in ox educ, there are differences in content between the videos in ox educ and the video in Professor Lambert's channel.

[@wangates]

Completely misleading video