Beautifully written papers From David Salsburg's book The lady tasting tea:

Although the reader may not believe it, literary style plays an
important role in mathematical research. Some mathematical writers
seem unable to produce articles that are easy to understand. Others
seem to get a perverse pleasure out of generating many lines of
symbolic notation so filled with detail that the general idea is lost
in the picayune.
But some authors have the ability to display complicated ideas with
such force and simplicity that the development appears to be obvious
in their exposition. Only upon reviewing what has been learned does
the reader realize the great power of the results. Such an author was
Jerzy Neyman. It is a pleasure to read his papers. The ideas evolve
naturally, the notation is deceptively simple, and the conclusions
appear to be so natural that you find it hard to see why no one
produced these results long before.

What are other specific examples of such well-written papers on statistics or machine learning?
The idea is to have a list of "this is how you should write" papers.
Please, try to provide:

*

*Full bibliographic citation such as:
Carl E. Rasmussen,  "The Infinite Gaussian Mixture Model" In Advances in Neural    Information Processing Systems 12, Vol. 12 (2000)


*In case of links, make them to publicly accessible repositories if possible (e.g. http://arxiv.org/).


*A short, informal, comprehensible review on what is the paper about and  why it is an example of a top well-written paper.
 A: I'll give it a shot...:
Benjamini, Yoav; Hochberg, Yosef (1995). "Controlling the false discovery rate: a practical and powerful approach to multiple testing". Journal of the Royal Statistical Society, Series B 57 (1): 289–300. MR 1325392.
Link to PDF: http://www.math.tau.ac.il/~ybenja/MyPapers/benjamini_hochberg1995.pdf
I think the importance of the paper is undisputable. In fields like genomics, experiments with 1000s of tests involved are the norm and the BH method is the most popular way to address the multiple testing issue. Not surprisingly perhaps, this paper appears in the top 100 most cited articles.
Is it beautifully written? I think so. In this paper you have 1) The mathematical formalism (although I can't judge whether this could be made better); 2) An understandable, plain English explanation of what the problem is, why other methods are unsatisfactory and how the BH method works; 3) A simple worked example of how it is done.
(I'm very intersted in this questions, hope others come up with answers & opinions)
