If your paper has been accepted to appear in Statistical Science and the supplement has also been approved by the Editor, please follow the three steps described below in order to prevent delays in the production process.

For each supplemental file please provide a title and a brief description or a descriptive title. Each supplemental file will be assigned an individual DOI. A section will be added prior to the reference list that informs the reader of the supplementary material.

Depending on the nature of the material, if there are multiple files you may provide either a Zip file containing all files or individual files. The supplemental files should be cited in text and an entry must be added to the reference list.

1. Cite the Supplementary Material in Text

Add author(s) and year of publication

EXAMPLE
The estimation of ß is much more complicated and we describe it in detail in the supplemental article [Ingermanson (2008)].

2. Add an Entry to Reference List

(author(s), year, Supplement to “Title of paper”. The DOI will be added by the typesetter.)

EXAMPLE
INGERMANSON, R. (2008). Supplement to “Discussion of: Statistical analysis of an archeologicalfind.” DOI: 10.1214/08-AOS99GSUPP.

3. Provide a title and description for each supplemental file connected to the paper.

(A zip file counts as one file and should contain an overall description.) This section should be added prior to the reference list. Please see http://www.e-publications.org/ims/support/ims-instructions.html and scroll down to “Supplementary Materials (For STS)” for the code. Note the DOI and link will be filled in during production.

EXAMPLE
\begin{supplement} [id-suppA]
%\sname{Supplement A}
\stitle{Analysis of the Talpiot tomb using Bayes’ Theorem and random variables}
\slink[doi]{???}
\slink[url]{http://lib.stat.cmu.edu/sts/???/???}
\sdatatype{.pdf}
\sdescription{We analyze the Talpiot tomb, which has been alleged to be the family tomb of Jesus of Nazareth. Using Bayes’ Theorem, we derive a simple function that estimates the probability that the tomb houses the remains of Jesus and his family. Unfortunately, this function cannot be evaluated exactly, because several of the key parameters are unknown. By using random variables with reasonable probability distributions, we examine the mean behavior and range of the function under a variety of conditions. We conclude that the probability is low (on the order of 2\% or less) that the Talpiot tomb is the family tomb of Jesus of Nazareth.}
\end{supplement}