Here is one of the most cited papers in sociology, that is just 1.5 pages long. Good things come in small packages Choosing models for cross-classifications(Raftery, A.E. (1986)).

This short article by George Casella and Edward George, explains the nuts and bolts of a Gibbs sampler and answers the following questions in simple words : What is a Gibbs sampler ? Why was a there a need for such a sampling algorithm ? When is it used ? Why does it work ? How is it related to Data Augmentation Algorithm ? When does the algorithm fail ?

[youtube https://www.youtube.com/watch?v=DXrs7QVkT-w?rel=0]

Great work results when you stop doing only what you know you can do and instead begin pursuing what you believe you might be able to do with a little focused effort. - Todd Henry

[youtube https://www.youtube.com/watch?v=DUh3aiKdFcY?rel=0]