We are calling for proposals in the form of detailed abstracts (about 2 pages) from those interested in presenting one of the main invited papers for discussion. To be considered for a presentation, abstracts are due by January 15, 1999. Abstracts should emphasize scientific and technological background, and should clarify the extent to which the statistical work will address key components of the problems articulated. They should also include statements that makes clear the amount of work that will be accomplished by the time the manuscripts are due, and clearly identify the collaborators and particularly the non-statisticians who will be involved in the presentation. Case studies to be presented at the meeting will be selected by the organizing committee on the basis of all abstracts received.
The organizing committee of the Fifth Workshop includes Brad Carlin, Alicia Carriquiry, Constantine Gatsonis, Andrew Gelman, Rob Kass, Isa Verdinelli, and Mike West. Abstracts should be submitted to Bayes Workshop, Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213-3890, e-mail: bayes@stat.cmu.edu. Additional information may be obtained by contacting Rob Kass at the same address or email: kass@stat.cmu.edu; phone: 412-268-2718; FAX: 412-268-7828; or by contacting any of the organizers.
Listed below is the format for abstracts for contributed papers. You may edit the text inside the window below and then press SUBMIT to send it. You should replace the sample information with the correct information. Confirmation of receipt of the abstract will be sent to the email address you provide.
Our preference is to receive all abstracts via this web site. However, you may also submit your abstract by email (bayes@stat.cmu.edu) or hard copy (Bayesian Workshop, Department of Statistics, Baker Hall 132, Carnegie Mellon University, Pittsburgh, PA 15213).
Key questions are, How substantial is the project? How much of the work is already completed? How much interaction has there been between the statistician and non-statisticians? What kind of impact might this work have on the subject area? How likely are we to get a reasonable draft manuscript for discussants by June 1? (The final manuscripts are typically around 50 pages, though this is only a very rough suggestion.) Would all investigators be involved in the presentation?
You probably should try to make the answers to some of these apparent from the way you are writing the abstract, but others can be addressed head-on at the end.
This page last maintained on 1/7/99
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Contact Bayes '99 via bayes@stat.cmu.edu