Case Studies in Bayesian Statistics and
Machine Learning

Workshop 1 - 2009
October 16-17, 2009
Carnegie Mellon University
Pittsburgh, PA

Online Submission of Abstracts

Abstracts should be submitted via the workshop web site. Questions can be sent to: bayes at stat.cmu.edu. Additional information may be obtained by contacting Rob Kass at kass at stat.cmu.edu; phone: 412-268-2718; FAX: 412-268-7828; or by contacting any of the organizers.

Submitting an abstract for
Main Invited Papers
Young Researcher Contributed Papers
Poster Presentations

 !  Links
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  • Deadlines
  • DeGroot Lecture
  • Submit Abstracts
  • Submit Manuscripts
  • Workshop Participants
  • Young Researchers
  • Poster Presentations
  • Transportation
  • What makes a good case study?

 

Organized by:

Jay Kadane, Department of Statistics, CMU (program chair)

Ziv Bar-Joseph, Machine Learning Department, CMU (program co-chair)

David Blei, Computer Science Department, Princeton

Merlise Clyde, Department of Statistics, Duke University

Zoubin Ghahramini, Computer Sceince Department, Cambridge University

David Heckerman, Microsoft research

Tommi Jaakkola, Electrical Engineering and Computer Science, MIT

Rob Kass, Department of Statistics, CMU

Tony O'Hagan, Warwick University

Dalene Stangl, Department of Statistics, Duke University