CBMS 2012


CBMS Regional Conference: Model Uncertainty and Multiplicity (July 23-27, 2012)

Hypothesis testing, model selection, model comparison, model criticism, model multiplicity. These are all topics pertaining the uncertainty in the choice of a statistical model and its use for inferential purposes. Research on these areas span many decades. But a fully satisfactory answer to these issues has been elusive. This conference will present a comprehensive coverage of modern developments in the areas of model comparison, model averaging and multiplicity adjustments.  For more information, visit the website.

Main Lecturer: Jim Berger (Duke University)

Invited Lecturers: Susie Bayarri (University of Valencia, Spain), Brad Efron (Stanford University), Marc Suchard (University of California Los Angeles).  

Local Organizers: Bruno Sansó, Abel Rodriguez and Yuefeng Wu.